SearchPath.nlogo

extensions [matrix]
globals [
  searchertransitionmatrix ;; the searchers transition matrix
  targettransitionmatrix ;; the targets actual transition matrix
  targetknowntransitionmatrix ;; the searchers idea of the targets tranision matrix
  numbercaught ;; total number of targets caught
  time ;; time counter
  gridsize ;; size of the grid
  gridlength ;; length of the grid
  probdensity ;; a row representing a probablity density
  probablityofdetection
  currentcellx ;; x value of cueent cell
  currentcelly ;; y calue of cueent cell
  j ;; control variable
  k ;; control variable
  i ;; control variable
  transitionmatrixj
  searchershere ;; number of searchers in a cell
  probtargethere ;; probablity that a target is in a cell
  probdetection ;; probablity of detection
  Pj ;; transitionmatrixj times probnotdetected
  probdom ;; used as the demominators when calculating new probablity distribution
  probnum ;; used as the numerator when calculating new probablity distribution
  newprobdensityj ;; jth element of new probablity density
  rowsum ;; sum of a row
  currentcell ;; current cell number
  randomcell ;; a random cell value to find lottery winner
  cellmax ;; cell in the neighborhood with the highest probablity
  probnotdetected ;; a probablity that a target was not detected
  associationmatrix ;; a matrix of cell associations
  cell1 ;; 1 cell in the moores neighboorhood lower left
  cell2 ;; 2 cell in the moores neighboorhood lower middle
  cell3 ;; 3 cell in the moores neighboorhood lower right
  cell4 ;; 4 cell in the moores neighboorhood middle left
  cell5 ;; 5 cell in the moores neighboorhood middle middle
  cell6 ;; 6 cell in the moores neighboorhood middle right
  cell7 ;; 7 cell in the moores neighboorhood top left
  cell8 ;; 8 cell in the moores neighboorhood top middle
  cell9 ;; 9 cell in the moores neighboorhood top right
  cellprob ;; probablity of a target being in that cell
  probNextmove ;; a estimation of the probablity a target is in the next cell
  probNextmoveactual ;; the actual probablity a target is in the next cell
  temptransitionmatrixj ;; jth row of a temporary transition matrix
  probdensityactual ;; the actual probablity distribution
  confidenceprob ;; a estimated confidance probablity
  confidenceprobactual ;; the actual confidance probablity
  probdensitymatrix ;; a matrix of the probablity density ie multipled by the association matrix
  searcherpositionrow ;; a row of searchers positions
  sensorpositionrow ;; a row of sensors positions
  sumcell1 ;; sum of probabilities to cell 1
  sumcell2 ;; sum of probabilities to cell 2
  sumcell3 ;; sum of probabilities to cell 3
  sumcell4 ;; sum of probabilities to cell 4
  sumcell5 ;; sum of probabilities to cell 5
  sumcell6 ;; sum of probabilities to cell 6
  sumcell7 ;; sum of probabilities to cell 7
  sumcell8 ;; sum of probabilities to cell 8
  sumcell9 ;; sum of probabilities to cell 9
  onesrow ;; a row of ones
  positionrow ;; a row representing the position of searchers
  probofdetection ;; the probablity of detection
  targetstofind ;; number of targets left to find
  expectnumdetetions ;; a expected number of detection on the next move
  lasttargetsfoundsum ;; targets found during the last time step
  currenttargetsfound ;; number of targets found during the last time step
  targetseenat ;; the cell that a target was seen at
  targetmovedto ;; the cell that a target moved to
  myideadata ;; datapoints for my idea
  totalrows ;; total rows of the idea data
  fromrows ;; from rows
  torows ;; to rows
  datadim ;; diminsions of my idea data
  newtranscell ;; new tranistion matrix cell value
  currentx ;; current searchers x
  currenty ;; current searchers y
  cell1taken  ;;taken variable
  cell2taken  ;;taken variable
  cell3taken  ;;taken variable
  cell4taken  ;;taken variable
  cell5taken  ;;taken variable
  cell6taken  ;;taken variable
  cell7taken  ;;taken variable
  cell8taken  ;;taken variable
  cell9taken  ;;taken variable
  ]
breed [targets target]
breed [searchers searcher]
breed [sensors sensor]
targets-own [
  caught ;; if the target has been caught
  seen ;; if the target has been seen
  free ;; if the target is free
  justseen ;; if the target was just seen
  ]
searchers-own [
  checkpoint
  ]
patches-own [
  prob ;; probablity a target is in the patch
  cellnumber ;; the patches cell number
  ]

;;set up model
to setup
  ;;clear all variables
  clear-all

  ;;set grids length/ used for calculations
  set gridlength 10

  ;; set the gridsize/ used for calculations
  set gridsize gridlength ^ 2

  ;; set initial time
  set time 0

  ;;set up target stat variables
  set lasttargetsfoundsum 0
  set currenttargetsfound 0

  ;; set the number of targets caught
  set numbercaught 0

  ;; set up the probablity density
  setup-probdensity

  ;; set up the patches
  setup-patches

  ;; set up the targets actual transition matrix
  setup-targetmatrix

  ;; set up the searchers idea of the targets transition matrix
  setup-targetknownmatrix

  ;; set up the searchers original transition matrix
  setup-searchermatrix

  ;; set up the ones row/ a row of ones for calculaitons
  setup-onesrow

  ;; set up the position row for the searchers
  setup-update-positionrows

  ;; set up inital statistics
  setup-update-stats

  ;; set up the targets
  setup-targets

  ;; set up the searchers
  setup-searchers

  ;; set up the sensors
  setup-sensors

  ;;update the searchers ideal transition matrix according to new data
  update-searcher-idea-transitionmatrix

  reset-ticks
end

;; set up patches
to setup-patches
  ask patches [
    ;; get the patches x coordinate
    set currentcellx pxcor

    ;; if the patches y cordinate is less than grid length
    ifelse pycor < gridlength
       [set currentcelly pycor] ;; get the patches y coordinate
       [set currentcelly pycor - 1] ;; otherwise get it minus 1

    ;; calculate cell number
    set currentcell currentcelly * gridlength + currentcellx

    ;; if the cell number is negative set it to 0
    if currentcell < 0 [set currentcell 0]

    ;; finally set the cell number
    set cellnumber currentcell

    ;; if we want to see the probablity density
    ifelse showprobdensity
     [
        ;; set the probablity a target is in this cell
        set prob matrix:get probdensity cellnumber 0

        ;; set the color to scale
        set pcolor scale-color blue prob 0 max matrix:get-column probdensity 0
      ]

     ;; otherwise set everything to black
     [ set pcolor black ]

     ;; if we want to see the patch number
     if showcellnumber
     [
       set plabel cellnumber
       set plabel-color black
       ]

     ;; if we want to see the probablity density label per patch
     if showcellproblabel
     [
       set plabel precision (matrix:get probdensity cellnumber 0) 3
       set plabel-color black
       ]

    ]
end

;; update the patches
to update-patches
  ask patches [
    ;; if we want to see the probably density
    if showprobdensity
    [
      ;; get the probablity that a target is in the cell
      set prob matrix:get probdensity cellnumber 0

      ;; set the color to scale
      set pcolor scale-color blue prob 0 max matrix:get-column probdensity 0
      ]

    ;; if we want to see the probablity density label per patch
    if showcellproblabel
    [
      set plabel precision (matrix:get probdensity cellnumber 0) 3
      set plabel-color black
      ]

  ]
end


;; set up the targets actual tranistion matrix
to setup-targetmatrix
    if targetmovement = "Random"
      [
        set targettransitionmatrix matrix:from-row-list [
          [  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  ]
          ]
        ]

    if targetmovement = "gangster1"
      [
        set targettransitionmatrix matrix:from-row-list [
          [  0.25  0.05  0  0  0  0  0  0  0  0  0.25  0.45  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0  0.166666667  0  0  0  0  0  0  0  0.166666667  0.333333333  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.116666667  0.05  0.216666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.283333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.136666667  0.136666667  0.343333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.136666667  0.226666667  0.253333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.226666667  0.136666667  0.253333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.283333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.283333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0.111111111  0.061111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.05  0.111111111  0  0  0  0  0  0  0  0.111111111  0.161111111  0.172222111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.061111111  0.161111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.05  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.172222111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.051111111  0.05  0.171111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.172222111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.05  0.05  0.03  0  0  0  0  0  0  0  0.03  0.6  0.03  0  0  0  0  0  0  0  0.03  0.15  0.03  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  ]
          ]
       ]

    if targetmovement = "gangster2"
      [
        set targettransitionmatrix matrix:from-row-list [
          [  0.01  0.3  0  0  0  0  0  0  0  0  0.25  0.44  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.05  0.283333333  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.05  0.283333333  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0.05  0.172222222  0  0  0  0  0  0  0  0.111111111  0.111111111  0.222222222  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.172222222  0.05  0.111111111  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.05  0.172222222  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.323333333  0.166666667  0  0  0  0  0  0  0  0.166666667  0.01  0.166666667  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.05  0.283333333  0.166666667  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  ]
          ]
        ]

      if targetmovement = "gangster3"
      [
        set targettransitionmatrix matrix:from-row-list [
          [  0.01  0.3  0  0  0  0  0  0  0  0  0.25  0.44  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.05  0.283333333  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.172222222  0.05  0.111111111  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.116959064  0.116959064  0.116959064  0  0  0  0  0  0  0  0.116959064  0.116959064  0.116959064  0  0  0  0  0  0  0  0.116959064  0  0.18128655  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0  0.125  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0  0.125  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0.125  0  0  0  0  0  0  0  0  0.125  0.125  0.125  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0.2  0  0  0  0  0  0  0  0  0  0.2  0  0  0  0  0  0  0  0  0.2  0.2  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.45  0.05  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.323333333  0.166666667  0  0  0  0  0  0  0  0.166666667  0.01  0.166666667  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.06  0.339999999  0.2  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0.2  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.333333333  0.333333333  0  0  0  0  0  0  0  0  0  0.333333333  ]
          ]
        ]

    if targetmovement = "Fugitive1"
      [
        set targettransitionmatrix matrix:from-row-list [
          [  0.5  0.25  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.25  0.5  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0  0  0  0  0  0  0  0.13  0.13  0.24  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0.13  0.13  0.14  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.05  0.1  0  0  0  0  0  0  0  0.05  0.4  0.1  0  0  0  0  0  0  0  0.1  0.1  0.1  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0.25  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0.25  0.5  ]
          ]
        ]

    if targetmovement = "Fugitive2"
      [
        set targettransitionmatrix matrix:from-row-list [
          [  0.5  0.25  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.25  0.5  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.1  0.1  0.1  0  0  0  0  0  0  0  0.1  0.4  0.05  0  0  0  0  0  0  0  0.1  0.05  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.13  0.13  0.13  0  0  0  0  0  0  0  0.1  0.4  0.11  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.13  0.13  0.13  0  0  0  0  0  0  0  0.1  0.4  0.11  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.13  0.13  0.13  0  0  0  0  0  0  0  0.1  0.4  0.11  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.13  0.13  0.13  0  0  0  0  0  0  0  0.1  0.4  0.11  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.05  0.1  0  0  0  0  0  0  0  0.05  0.4  0.1  0  0  0  0  0  0  0  0.1  0.1  0.1  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0.25  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0.25  0.5  ]
          ]
        ]

end

;;set up targets known movement matrix (how the searcher thinks the target is moving)
to setup-targetknownmatrix
    if targetknownmovement = "random" or targetknownmovement = "Generated"
      [
        set targetknowntransitionmatrix matrix:from-row-list [
          [  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  ]
          ]
        ]

    if targetknownmovement = "gangster1"
      [
        set targetknowntransitionmatrix matrix:from-row-list [
          [  0.25  0.05  0  0  0  0  0  0  0  0  0.25  0.45  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0  0.166666667  0  0  0  0  0  0  0  0.166666667  0.333333333  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.116666667  0.05  0.216666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.283333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.136666667  0.136666667  0.343333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.136666667  0.226666667  0.253333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0.166666667  0.05  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.283333333  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0.111111111  0.061111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.05  0.111111111  0  0  0  0  0  0  0  0.111111111  0.161111111  0.172222111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.061111111  0.161111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.05  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.172222111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.051111111  0.05  0.171111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.172222111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
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          ]
        ]

    if targetknownmovement = "gangster2"
      [
        set targetknowntransitionmatrix matrix:from-row-list [
          [  0.01  0.3  0  0  0  0  0  0  0  0  0.25  0.44  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.323333333  0.166666667  0  0  0  0  0  0  0  0.166666667  0.01  0.166666667  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  ]
          ]
        ]

      if targetknownmovement = "gangster3"
      [
        set targetknowntransitionmatrix matrix:from-row-list [
          [  0.01  0.3  0  0  0  0  0  0  0  0  0.25  0.44  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.05  0.283333333  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.172222222  0.05  0.111111111  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.116959064  0.116959064  0.116959064  0  0  0  0  0  0  0  0.116959064  0.116959064  0.116959064  0  0  0  0  0  0  0  0.116959064  0  0.18128655  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0  0.125  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0  0.125  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.125  0.125  0.125  0  0  0  0  0  0  0  0.125  0.125  0  0  0  0  0  0  0  0  0.125  0.125  0.125  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0.2  0  0  0  0  0  0  0  0  0  0.2  0  0  0  0  0  0  0  0  0.2  0.2  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0.45  0.05  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.323333333  0.166666667  0  0  0  0  0  0  0  0.166666667  0.01  0.166666667  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.06  0.339999999  0.2  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0  0.2  0  0  0  0  0  0  0  0.2  0.2  0.2  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.2  0.2  0.2  0  0  0  0  0  0  0  0.2  0.2  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.333333333  0.333333333  0  0  0  0  0  0  0  0  0  0.333333333  ]
          ]
        ]

    if targetknownmovement = "Fugitive1"
      [
        set targetknowntransitionmatrix matrix:from-row-list [
          [  0.5  0.25  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.05  0  0  0  0  0  0  0  0  0.1  0.4  0.05  0  0  0  0  0  0  0  0.1  0.1  0.1  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0  0.13  0.13  0.14  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0  0  0  0  0  0  0  0.13  0.13  0.24  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0.13  0.13  0.14  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.05  0.1  0  0  0  0  0  0  0  0.05  0.4  0.1  0  0  0  0  0  0  0  0.1  0.1  0.1  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0.25  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0.25  0.5  ]
          ]
        ]

    if targetknownmovement = "Fugitive2"
      [
        set targetknowntransitionmatrix matrix:from-row-list [
          [  0.5  0.25  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.25  0.5  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.1  0.1  0.1  0  0  0  0  0  0  0  0.1  0.4  0.05  0  0  0  0  0  0  0  0.1  0.05  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.13  0.13  0.13  0  0  0  0  0  0  0  0.1  0.4  0.11  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.13  0.13  0.13  0  0  0  0  0  0  0  0.1  0.4  0.11  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0  0  0  0  0  0  0  0.13  0.24  0.13  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.1  0.4  0.1  0  0  0  0  0  0  0.13  0.13  0.14  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.05  0.1  0  0  0  0  0  0  0  0.05  0.4  0.1  0  0  0  0  0  0  0  0.1  0.1  0.1  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0  0  0  0  0  0  0  0  0  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0  0.5  0.25  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0.5  0.25  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.25  0  0  0  0  0  0  0  0  0.25  0.5  ]
          ]
        ]
end

;;set up searchers matrixes
to setup-searchermatrix
    ;;if random search set to random matrix
    if searcherstrat = "random"
      [
        set searchertransitionmatrix matrix:from-row-list [
          [  0.25  0.25  0  0  0  0  0  0  0  0  0.25  0.25  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  0  0  0  0  0  0  0.111111111  0.111111111  0.111111111  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0  0  0  0  0  0  0  0  0.166666667  0.166666667  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  0  0  0  0  0  0  0  0.166666667  0.166666667  0.166666667  ]
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          ]

        ]
    ;;if mowing set to mowing pattern
    if searcherstrat = "mowing"
      [
        set searchertransitionmatrix matrix:from-row-list [[  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  ]
          ]
        ]

    ;;if baysian we set this to be the association matrix
    if searcherstrat = "baysian" or searcherstrat = "myidea - gangster1" or searcherstrat = "myidea - gangster2" or searcherstrat = "myidea - gangster3" or searcherstrat = "myidea - fugitive2"
      [
        set searchertransitionmatrix matrix:from-row-list [[  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  1  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  ]
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          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  1  0  0  0  0  0  0  0  1  1  1  ]
          [  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0  0  0  0  0  0  0  0  1  1  ]
          ]
         ;;set the association matrix
         set associationmatrix matrix:copy searchertransitionmatrix

         ;;set path constraints if its ganster3
         if searcherstrat = "myidea - gangster3"
           [
           matrix:set associationmatrix 82  92 0
           matrix:set associationmatrix 83  93 0
           matrix:set associationmatrix 84  94 0
           matrix:set associationmatrix 92  82 0
           matrix:set associationmatrix 93  83 0
           matrix:set associationmatrix 85  87 0
           matrix:set associationmatrix 86  88 0
           matrix:set associationmatrix 87  89 0
           matrix:set associationmatrix 95  85 0
           matrix:set associationmatrix 96  86 0
           matrix:set associationmatrix 97  87 0
           matrix:set associationmatrix 61  71 0
           matrix:set associationmatrix 62  72 0
           matrix:set associationmatrix 63  73 0
           matrix:set associationmatrix 64  74 0
           matrix:set associationmatrix 65  75 0
           matrix:set associationmatrix 66  76 0
           matrix:set associationmatrix 71  61 0
           matrix:set associationmatrix 72  62 0
           matrix:set associationmatrix 73  63 0
           matrix:set associationmatrix 74  64 0
           matrix:set associationmatrix 75  65 0
           matrix:set associationmatrix 76  66 0
           matrix:set associationmatrix 98  99 0
           matrix:set associationmatrix 99  98 0
           matrix:set associationmatrix 88  89 0
           matrix:set associationmatrix 89  88 0
           matrix:set associationmatrix 50  60 0
           matrix:set associationmatrix 51  61 0
           matrix:set associationmatrix 58  68 0
           matrix:set associationmatrix 59  69 0
           matrix:set associationmatrix 40  50 0
           matrix:set associationmatrix 41  51 0
           matrix:set associationmatrix 43  53 0
           matrix:set associationmatrix 45  55 0
           matrix:set associationmatrix 46  56 0
           matrix:set associationmatrix 47  57 0
           matrix:set associationmatrix 49  59 0
           matrix:set associationmatrix 39  49 0
           matrix:set associationmatrix 22  32 0
           matrix:set associationmatrix 23  33 0
           matrix:set associationmatrix 25  35 0
           matrix:set associationmatrix 26  36 0
           matrix:set associationmatrix 27  37 0
           matrix:set associationmatrix 28  38 0
           matrix:set associationmatrix 10  20 0
           matrix:set associationmatrix 2  12 0
           matrix:set associationmatrix 3  13 0
           matrix:set associationmatrix 5  15 0
           matrix:set associationmatrix 6  16 0
           matrix:set associationmatrix 7  17 0
           matrix:set associationmatrix 8  18 0
           matrix:set associationmatrix 60  50 0
           matrix:set associationmatrix 61  51 0
           matrix:set associationmatrix 68  58 0
           matrix:set associationmatrix 69  59 0
           matrix:set associationmatrix 50  40 0
           matrix:set associationmatrix 51  41 0
           matrix:set associationmatrix 53  43 0
           matrix:set associationmatrix 55  45 0
           matrix:set associationmatrix 56  46 0
           matrix:set associationmatrix 57  47 0
           matrix:set associationmatrix 59  49 0
           matrix:set associationmatrix 49  39 0
           matrix:set associationmatrix 32  22 0
           matrix:set associationmatrix 33  23 0
           matrix:set associationmatrix 35  25 0
           matrix:set associationmatrix 36  26 0
           matrix:set associationmatrix 37  27 0
           matrix:set associationmatrix 38  28 0
           matrix:set associationmatrix 20  10 0
           matrix:set associationmatrix 12  2 0
           matrix:set associationmatrix 13  3 0
           matrix:set associationmatrix 15  5 0
           matrix:set associationmatrix 16  6 0
           matrix:set associationmatrix 17  7 0
           matrix:set associationmatrix 18  8 0
          ]
        ]

end

;; set up the probablity density field
to setup-probdensity
  ;; if its the fugitive case it will start in the center
  ifelse targetmovement = "Fugitive1" or targetmovement = "Fugitive2"

     ;; if fugitive its 100% probably will be in the center
     [set probdensity matrix:from-row-list [[0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.901]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]  [0.001]]]

     ;; otherwise its equally distributed
     [set probdensity matrix:from-row-list [[  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ][  0.01  ]]]

  ;; set up the searchers probablity density via how many targets it thinks there are
  set probdensity matrix:times probdensity numberofknowntargets

  ;; set up the accurate probablity density via actual targets
  set probdensityactual matrix:times probdensity numberoftargets

  ;;debugging fugitive error
  ;;show probdensity
  ;;setup-onesrow
  ;;show matrix:times onesrow probdensity
  ;;show numberofknowntargets
  ;;set confidenceprob matrix:times onesrow probdensity
  ;;show confidenceprob
  ;;set confidenceprob (max (list (numberofknowntargets - (matrix:get confidenceprob 0 0)) 0)) * 100
  ;;show confidenceprob

end

;; set up and update statistics
to setup-update-stats
  ;; set up ones row so we know its all ones
  setup-onesrow

  ;;find number of targets we have remaining
  set targetstofind Numberoftargets - (sum [caught] of targets)

  ;;find approx confidance probablity from probability density
  ;show probdensity
  set confidenceprob matrix:times onesrow probdensity
  ;show confidenceprob
  set confidenceprob (max (list (numberofknowntargets - (matrix:get confidenceprob 0 0)) 0)) * 100
  ;show confidenceprob

  ;;get actual confidence probablity
  set confidenceprobactual (sum [caught] of targets) / (numberoftargets) * 100

  ;; probablity of next move
  set probNextmove matrix:times positionrow probdensity
  set probNextmove matrix:get probnextmove 0 0

  ;;calculate probablity of detection with next cell
  ;; if exponential 1 - e ^ (-1 * detectionrate * searchers-here) * targets-here
  ifelse exponentialdetection
    [ ;; detectionrate * searchers-here
      set probofdetection matrix:times detectionrate  searcherpositionrow
      ;; -1 * detectionrate * searchers-here
      set probofdetection matrix:times -1  probofdetection
      ;; e ^ (-1 * detectionrate * searchers-here)
      set probofdetection matrix:map exp  probofdetection
      ;; - e ^ (-1 * detectionrate * searchers-here)
      set probofdetection matrix:times -1  probofdetection
      ;; 1 - e ^ (-1 * detectionrate * searchers-here)
      set probofdetection matrix:plus-scalar probofdetection 1
      ;; 1 - e ^ (-1 * detectionrate * searchers-here) * searchers-here
      set probofdetection matrix:times  probofdetection probdensity
      ;;change to scalar
      set probofdetection matrix:get probofdetection 0 0
      ]
    ;;else just a summation of probablity of density
    [set probofdetection matrix:times 1  searcherpositionrow
     set probofdetection matrix:times probofdetection probdensity
     set probofdetection matrix:get probofdetection 0 0]

  ;; best possible result
  set expectnumdetetions targetstofind * probofdetection
  set expectnumdetetions ceiling expectnumdetetions

  ;;targets found during this iteration
  set currenttargetsfound (sum [caught] of targets) - lasttargetsfoundsum

  ;;current total found saved for next calculation
  set lasttargetsfoundsum (sum [caught] of targets)
end

;; set up targets
to setup-targets
    ;; create targets
    create-targets Numberoftargets

    ;; set color to yellow
    ask targets [set color yellow]

    ;; set caught and seen variables to 0
    ask targets [set caught 0 set seen 0]

    ;; if fugitive the target starts in the center
    ifelse targetmovement = "Fugitive1" OR targetmovement = "Fugitive2"
      [ask targets [setxy 5 5]] ;; set in center
      [ask targets [setxy random-pxcor random-pycor]] ;; otherwise randomly distribute them

    ;; if we want to show paths set pen to down
    ask targets [ ifelse showpaths [ pen-down ] [ pen-up ]]
end

;; set up searchers
to setup-searchers
    ;; create searchers
    create-searchers numberofsearchers

    ;; set color to blue
    ask searchers [set color blue]

    ;; set heading to 0
    ask searchers [set heading 90]

    ;; randomly distribute them
    ask searchers [move-to one-of patches]

    ;; if we want to show paths set pen down
    ask searchers [ ifelse showpaths [ pen-down ] [ pen-up ]]
end

;; set up sensors
to setup-sensors
    ;; create sensors
    create-sensors numberofsensors

    ;;set sensors color to green
    ask sensors [set color green]

    ;;randomly distribute them
    ask sensors [move-to one-of patches]

    ;; if we want to show paths set pen down
    ask sensors [ ifelse showpaths [ pen-down ] [ pen-up ]]
end

;; main moduale
to go
  ;; stop the model if we have past total time or confidence is sufficent
  if (confidenceprob > EndonConfidence) OR (time > TotalTime) OR numberoftargets = (sum [caught] of targets) [ stop ]

  ;;move searchers
  set cell1taken  0
  set cell2taken  0
  set cell3taken  0
  set cell4taken  0
  set cell5taken  0
  set cell6taken  0
  set cell7taken  0
  set cell8taken  0
  set cell9taken  0
  move-searchers

  ;; move targets
  move-targets

  ;; move sensors
  move-sensors

  ;;check if targets have been caught
  target-caught

  ;;check if targets have been seen
  target-seen

  ;; update the searchers position row
  setup-update-positionrows

  ;; update the probablity density
  update-probdensity

  ;; update the models statistics
  setup-update-stats

  ;; update patches (update the colors depending on the probablity distribution)
  update-patches

  ;;increment time
  set time (time + 1)
  tick
end

;;used to set up or update a row of ones for calculations
to setup-onesrow
  set onesrow matrix:from-row-list [[ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ]]
end


;; set up and update a position row for searchers
to setup-update-positionrows
  ;; set up a row of zeros
  set searcherpositionrow matrix:from-row-list [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]]

  ;;for each searcher
  ask searchers [

    ;;get currentcell from patch
    ask patch-here [ set currentcell cellnumber]

    ;;show cells with searchers and time
    ;;show "time"
    ;;show time
    ;;show "searcher at patch"
    ;;show currentcell

    ;; add a 1 to the position where this searcher is at
    matrix:set searcherpositionrow 0  currentcell ((matrix:get searcherpositionrow 0 currentcell) + 1)
    ]

  ;; set up a row of zeros
  set sensorpositionrow matrix:from-row-list [[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0]]

  ;;for each searcher
  ask sensors [

    ;;get currentcell from patch
    ask patch-here [ set currentcell cellnumber]

    ;; add a 1 to the position where this searcher is at
    matrix:set sensorpositionrow 0  currentcell ((matrix:get sensorpositionrow 0 currentcell) + 1)
    ]
end

;; update the probablity density
to update-probdensity
   ;; set counter to 0
   set j 0

   ;;set positionrow
   set positionrow matrix:plus searcherpositionrow sensorpositionrow

   ;; for each cell
   while [j <= 99]
   [
     ;; per cell update row
     ;; use bays theorem P(A|B) = P(B|A)*P(A)/P(B)
        ;;set up ones row
        setup-onesrow
        ;; get j row of transition matrix
        set temptransitionmatrixj matrix:get-row targetknowntransitionmatrix j
        ;; set transition matrix at positition j to ones
        set transitionmatrixj onesrow
        ;;set up transition matrix at point j
        matrix:set-row transitionmatrixj 0 temptransitionmatrixj
        ;;find out how many searchers are here
        set searchershere matrix:get positionrow 0 j
        ;;find out the probability of a target being here
        set probtargethere matrix:get probdensity j 0
        ;; set probablity of detection based on if were using exponential detection
        ifelse exponentialdetection
          [set probdetection (1 - e ^ (-1 * detectionrate * searchershere)) * searchershere]
          [set probdetection searchershere]
        ;;find the probablity of not detecting the target
        set probnotdetected (1 - probdetection)
        ;; multiply the transition matrix
        set Pj matrix:times transitionmatrixj probnotdetected
        ;;calculate the demoninator
        set probdom (1 - probdetection * probtargethere)
        ;;start the calculation of the numorator
        set probnum matrix:times  Pj probdensity
        ;;finsih numorator
        set probnum matrix:get probnum 0 0
        ;;finish the calculation
        set newprobdensityj probnum / probdom

        ;; set the probablity density with the new probablity density calculated
        matrix:set probdensity j 0 newprobdensityj

     ;; increment counter
     set j j + 1
   ]

end

to set-generated-dataset
  if searcherstrat = "myidea - gangster1"
      [ set myideadata matrix:from-row-list [
          [  1  1  ]
[  1  2  ]
[  1  11  ]
[  1  12  ]
[  10  9  ]
[  10  10  ]
[  10  19  ]
[  10  20  ]
[  91  81  ]
[  91  82  ]
[  91  91  ]
[  91  92  ]
[  100  89  ]
[  100  90  ]
[  100  99  ]
[  100  100  ]
[  92  81  ]
[  92  82  ]
[  92  83  ]
[  92  91  ]
[  92  92  ]
[  92  93  ]
[  93  82  ]
[  93  83  ]
[  93  84  ]
[  93  92  ]
[  93  93  ]
[  93  94  ]
[  94  83  ]
[  94  84  ]
[  94  85  ]
[  94  93  ]
[  94  94  ]
[  94  95  ]
[  95  84  ]
[  95  85  ]
[  95  86  ]
[  95  94  ]
[  95  95  ]
[  95  96  ]
[  96  85  ]
[  96  86  ]
[  96  87  ]
[  96  95  ]
[  96  96  ]
[  96  97  ]
[  97  86  ]
[  97  87  ]
[  97  88  ]
[  97  96  ]
[  97  97  ]
[  97  98  ]
[  98  87  ]
[  98  88  ]
[  98  89  ]
[  98  97  ]
[  98  98  ]
[  98  99  ]
[  99  88  ]
[  99  89  ]
[  99  90  ]
[  99  98  ]
[  99  99  ]
[  99  100  ]
[  2  1  ]
[  2  2  ]
[  2  3  ]
[  2  11  ]
[  2  12  ]
[  2  13  ]
[  3  2  ]
[  3  3  ]
[  3  4  ]
[  3  12  ]
[  3  13  ]
[  3  14  ]
[  4  3  ]
[  4  4  ]
[  4  5  ]
[  4  13  ]
[  4  14  ]
[  4  15  ]
[  5  4  ]
[  5  5  ]
[  5  6  ]
[  5  14  ]
[  5  15  ]
[  5  16  ]
[  6  5  ]
[  6  6  ]
[  6  7  ]
[  6  15  ]
[  6  16  ]
[  6  17  ]
[  7  6  ]
[  7  7  ]
[  7  8  ]
[  7  16  ]
[  7  17  ]
[  7  18  ]
[  8  7  ]
[  8  8  ]
[  8  9  ]
[  8  17  ]
[  8  18  ]
[  8  19  ]
[  9  8  ]
[  9  9  ]
[  9  10  ]
[  9  18  ]
[  9  19  ]
[  9  20  ]
[  11  1  ]
[  11  2  ]
[  11  11  ]
[  11  12  ]
[  11  21  ]
[  11  22  ]
[  21  11  ]
[  21  12  ]
[  21  21  ]
[  21  22  ]
[  21  31  ]
[  21  32  ]
[  31  21  ]
[  31  22  ]
[  31  31  ]
[  31  32  ]
[  31  41  ]
[  31  42  ]
[  41  31  ]
[  41  32  ]
[  41  41  ]
[  41  42  ]
[  41  51  ]
[  41  52  ]
[  51  41  ]
[  51  42  ]
[  51  51  ]
[  51  52  ]
[  51  61  ]
[  51  62  ]
[  61  51  ]
[  61  52  ]
[  61  61  ]
[  61  62  ]
[  61  71  ]
[  61  72  ]
[  71  61  ]
[  71  62  ]
[  71  71  ]
[  71  72  ]
[  71  81  ]
[  71  82  ]
[  81  71  ]
[  81  72  ]
[  81  81  ]
[  81  82  ]
[  81  91  ]
[  81  92  ]
[  20  9  ]
[  20  10  ]
[  20  19  ]
[  20  20  ]
[  20  29  ]
[  20  30  ]
[  30  19  ]
[  30  20  ]
[  30  29  ]
[  30  30  ]
[  30  39  ]
[  30  40  ]
[  40  29  ]
[  40  30  ]
[  40  39  ]
[  40  40  ]
[  40  49  ]
[  40  50  ]
[  50  39  ]
[  50  40  ]
[  50  49  ]
[  50  50  ]
[  50  59  ]
[  50  60  ]
[  60  49  ]
[  60  50  ]
[  60  59  ]
[  60  60  ]
[  60  69  ]
[  60  70  ]
[  70  59  ]
[  70  60  ]
[  70  69  ]
[  70  70  ]
[  70  79  ]
[  70  80  ]
[  80  69  ]
[  80  70  ]
[  80  79  ]
[  80  80  ]
[  80  89  ]
[  80  90  ]
[  90  79  ]
[  90  80  ]
[  90  89  ]
[  90  90  ]
[  90  99  ]
[  90  100  ]
[  12  1  ]
[  12  2  ]
[  12  3  ]
[  12  11  ]
[  12  12  ]
[  12  13  ]
[  12  21  ]
[  12  22  ]
[  12  23  ]
[  13  2  ]
[  13  3  ]
[  13  4  ]
[  13  12  ]
[  13  13  ]
[  13  14  ]
[  13  22  ]
[  13  23  ]
[  13  24  ]
[  14  3  ]
[  14  4  ]
[  14  5  ]
[  14  13  ]
[  14  14  ]
[  14  15  ]
[  14  23  ]
[  14  24  ]
[  14  25  ]
[  15  4  ]
[  15  5  ]
[  15  6  ]
[  15  14  ]
[  15  15  ]
[  15  16  ]
[  15  24  ]
[  15  25  ]
[  15  26  ]
[  16  5  ]
[  16  6  ]
[  16  7  ]
[  16  15  ]
[  16  16  ]
[  16  17  ]
[  16  25  ]
[  16  26  ]
[  16  27  ]
[  17  6  ]
[  17  7  ]
[  17  8  ]
[  17  16  ]
[  17  17  ]
[  17  18  ]
[  17  26  ]
[  17  27  ]
[  17  28  ]
[  18  7  ]
[  18  8  ]
[  18  9  ]
[  18  17  ]
[  18  18  ]
[  18  19  ]
[  18  27  ]
[  18  28  ]
[  18  29  ]
[  19  8  ]
[  19  9  ]
[  19  10  ]
[  19  18  ]
[  19  19  ]
[  19  20  ]
[  19  28  ]
[  19  29  ]
[  19  30  ]
[  22  11  ]
[  22  12  ]
[  22  13  ]
[  22  21  ]
[  22  22  ]
[  22  23  ]
[  22  31  ]
[  22  32  ]
[  22  33  ]
[  23  12  ]
[  23  13  ]
[  23  14  ]
[  23  22  ]
[  23  23  ]
[  23  24  ]
[  23  32  ]
[  23  33  ]
[  23  34  ]
[  24  13  ]
[  24  14  ]
[  24  15  ]
[  24  23  ]
[  24  24  ]
[  24  25  ]
[  24  33  ]
[  24  34  ]
[  24  35  ]
[  25  14  ]
[  25  15  ]
[  25  16  ]
[  25  24  ]
[  25  25  ]
[  25  26  ]
[  25  34  ]
[  25  35  ]
[  25  36  ]
[  26  15  ]
[  26  16  ]
[  26  17  ]
[  26  25  ]
[  26  26  ]
[  26  27  ]
[  26  35  ]
[  26  36  ]
[  26  37  ]
[  27  16  ]
[  27  17  ]
[  27  18  ]
[  27  26  ]
[  27  27  ]
[  27  28  ]
[  27  36  ]
[  27  37  ]
[  27  38  ]
[  28  17  ]
[  28  18  ]
[  28  19  ]
[  28  27  ]
[  28  28  ]
[  28  29  ]
[  28  37  ]
[  28  38  ]
[  28  39  ]
[  29  18  ]
[  29  19  ]
[  29  20  ]
[  29  28  ]
[  29  29  ]
[  29  30  ]
[  29  38  ]
[  29  39  ]
[  29  40  ]
[  32  21  ]
[  32  22  ]
[  32  23  ]
[  32  31  ]
[  32  32  ]
[  32  33  ]
[  32  41  ]
[  32  42  ]
[  32  43  ]
[  33  22  ]
[  33  23  ]
[  33  24  ]
[  33  32  ]
[  33  33  ]
[  33  34  ]
[  33  42  ]
[  33  43  ]
[  33  44  ]
[  34  23  ]
[  34  24  ]
[  34  25  ]
[  34  33  ]
[  34  34  ]
[  34  35  ]
[  34  43  ]
[  34  44  ]
[  34  45  ]
[  35  24  ]
[  35  25  ]
[  35  26  ]
[  35  34  ]
[  35  35  ]
[  35  36  ]
[  35  44  ]
[  35  45  ]
[  35  46  ]
[  36  25  ]
[  36  26  ]
[  36  27  ]
[  36  35  ]
[  36  36  ]
[  36  37  ]
[  36  45  ]
[  36  46  ]
[  36  47  ]
[  37  26  ]
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[  86  85  ]
[  86  85  ]
[  86  85  ]
[  75  74  ]
[  82  81  ]
[  86  85  ]
[  82  81  ]
[  82  81  ]
[  86  85  ]
[  86  85  ]
[  69  68  ]
[  86  85  ]
[  86  85  ]
[  82  81  ]
[  75  74  ]
[  73  72  ]
[  92  91  ]
[  86  85  ]
[  86  85  ]
[  82  81  ]
[  82  81  ]
[  82  81  ]
[  86  85  ]
[  86  85  ]
[  89  88  ]
[  86  85  ]
[  61  60  ]
[  61  60  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  82  81  ]
[  86  85  ]
[  86  85  ]
[  53  52  ]
[  86  85  ]
[  89  88  ]
[  89  88  ]
[  86  85  ]
[  82  81  ]
[  56  55  ]
[  86  85  ]
[  86  85  ]
[  61  60  ]
[  82  81  ]
[  86  85  ]
[  86  85  ]
[  82  81  ]
[  56  55  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  89  88  ]
[  89  88  ]
[  92  91  ]
[  92  91  ]
[  81  80  ]
[  82  81  ]
[  86  85  ]
[  86  85  ]
[  4  3  ]
[  86  85  ]
[  86  85  ]
[  89  88  ]
[  56  55  ]
[  89  88  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  86  85  ]
[  92  91  ]
[  98  97  ]
[  61  60  ]
[  97  96  ]
[  97  96  ]
[  99  98  ]
[  97  96  ]
[  58  57  ]
[  89  88  ]
[  57  56  ]
[  58  57  ]
[  65  64  ]
[  97  96  ]
[  97  96  ]
[  85  84  ]
[  99  98  ]
[  65  64  ]
[  62  61  ]
[  99  98  ]
[  81  80  ]
[  61  60  ]
[  65  64  ]
[  97  96  ]
[  79  78  ]
[  72  71  ]
[  61  60  ]
[  54  53  ]
[  7  6  ]
[  85  84  ]
[  85  84  ]
[  85  84  ]
[  85  84  ]
[  23  22  ]
[  61  60  ]
[  93  92  ]
[  58  57  ]
[  85  84  ]
[  79  78  ]
[  15  14  ]
[  86  77  ]
[  73  64  ]
[  92  83  ]
[  86  77  ]
[  14  5  ]
[  75  66  ]
[  73  64  ]
[  86  77  ]
[  86  77  ]
[  21  12  ]
[  82  73  ]
[  82  73  ]
[  82  73  ]
[  86  77  ]
[  73  64  ]
[  64  55  ]
[  73  64  ]
[  82  73  ]
[  86  77  ]
[  82  73  ]
[  86  77  ]
[  86  77  ]
[  82  73  ]
[  86  77  ]
[  86  77  ]
[  86  77  ]
[  90  81  ]
[  82  73  ]
[  61  52  ]
[  61  52  ]
[  82  73  ]
[  61  52  ]
[  86  77  ]
[  86  77  ]
[  66  57  ]
[  27  18  ]
[  66  57  ]
[  66  57  ]
[  60  51  ]
[  88  79  ]
[  91  82  ]
[  80  71  ]
[  62  53  ]
[  62  53  ]
[  93  84  ]
[  93  84  ]
[  93  84  ]
[  80  71  ]
[  62  53  ]
[  73  64  ]
[  62  53  ]
[  87  78  ]
[  69  60  ]
[  80  71  ]
[  67  58  ]
[  67  58  ]
[  61  51  ]
[  92  82  ]
[  86  76  ]
[  86  76  ]
[  32  22  ]
[  86  76  ]
[  69  59  ]
[  86  76  ]
[  75  65  ]
[  89  79  ]
[  31  21  ]
[  92  82  ]
[  73  63  ]
[  89  79  ]
[  61  51  ]
[  86  76  ]
[  69  59  ]
[  69  59  ]
[  75  65  ]
[  75  65  ]
[  73  63  ]
[  73  63  ]
[  69  59  ]
[  86  76  ]
[  86  76  ]
[  61  51  ]
[  73  63  ]
[  92  82  ]
[  92  82  ]
[  69  59  ]
[  89  79  ]
[  61  51  ]
[  73  63  ]
[  61  51  ]
[  32  22  ]
[  75  65  ]
[  69  59  ]
[  69  59  ]
[  98  88  ]
[  54  44  ]
[  74  64  ]
[  74  64  ]
[  74  64  ]
[  64  54  ]
[  66  56  ]
[  98  88  ]
[  74  64  ]
[  74  64  ]
[  66  56  ]
[  67  57  ]
[  64  54  ]
[  44  34  ]
[  74  64  ]
[  87  77  ]
[  41  31  ]
[  44  34  ]
[  70  60  ]
[  74  64  ]
[  74  64  ]
[  74  64  ]
[  61  51  ]
[  81  71  ]
[  88  78  ]
[  63  53  ]
[  81  71  ]
[  70  60  ]
[  81  71  ]
[  63  53  ]
[  91  81  ]
[  81  71  ]
[  81  71  ]
[  21  11  ]
[  21  11  ]
[  88  78  ]
[  68  58  ]
[  67  57  ]
[  67  57  ]
[  94  84  ]
[  27  17  ]
[  73  62  ]
[  86  75  ]
[  33  22  ]
[  56  45  ]
[  75  64  ]
[  86  75  ]
[  89  78  ]
[  69  58  ]
[  61  50  ]
[  73  62  ]
[  86  75  ]
[  82  71  ]
[  69  58  ]
[  33  22  ]
[  69  58  ]
[  82  71  ]
[  73  62  ]
[  61  50  ]
[  14  3  ]
[  61  50  ]
[  82  71  ]
[  92  81  ]
[  86  75  ]
[  89  78  ]
[  69  58  ]
[  73  62  ]
[  86  75  ]
[  86  75  ]
[  89  78  ]
[  86  75  ]
[  69  58  ]
[  61  50  ]
[  89  78  ]
[  89  78  ]
[  86  75  ]
[  92  81  ]
[  86  75  ]
[  69  58  ]
[  98  87  ]
[  95  84  ]
[  75  64  ]
[  75  64  ]
[  62  51  ]
[  62  51  ]
[  29  18  ]
[  62  51  ]
[  62  51  ]
[  42  31  ]
[  99  88  ]
[  67  56  ]
[  82  71  ]
[  95  84  ]
[  33  22  ]
[  82  71  ]
[  82  71  ]
[  83  72  ]
[  82  71  ]
[  82  71  ]
[  82  71  ]
[  95  84  ]
[  68  57  ]
[  68  57  ]
          ]
        ]

       if searcherstrat = "myidea - gangster2"
        [ set myideadata matrix:from-row-list [
            [  1  1  ]
[  1  2  ]
[  1  11  ]
[  1  12  ]
[  10  9  ]
[  10  10  ]
[  10  19  ]
[  10  20  ]
[  91  81  ]
[  91  82  ]
[  91  91  ]
[  91  92  ]
[  100  89  ]
[  100  90  ]
[  100  99  ]
[  100  100  ]
[  92  81  ]
[  92  82  ]
[  92  83  ]
[  92  91  ]
[  92  92  ]
[  92  93  ]
[  93  82  ]
[  93  83  ]
[  93  84  ]
[  93  92  ]
[  93  93  ]
[  93  94  ]
[  94  83  ]
[  94  84  ]
[  94  85  ]
[  94  93  ]
[  94  94  ]
[  94  95  ]
[  95  84  ]
[  95  85  ]
[  95  86  ]
[  95  94  ]
[  95  95  ]
[  95  96  ]
[  96  85  ]
[  96  86  ]
[  96  87  ]
[  96  95  ]
[  96  96  ]
[  96  97  ]
[  97  86  ]
[  97  87  ]
[  97  88  ]
[  97  96  ]
[  97  97  ]
[  97  98  ]
[  98  87  ]
[  98  88  ]
[  98  89  ]
[  98  97  ]
[  98  98  ]
[  98  99  ]
[  99  88  ]
[  99  89  ]
[  99  90  ]
[  99  98  ]
[  99  99  ]
[  99  100  ]
[  2  1  ]
[  2  2  ]
[  2  3  ]
[  2  11  ]
[  2  12  ]
[  2  13  ]
[  3  2  ]
[  3  3  ]
[  3  4  ]
[  3  12  ]
[  3  13  ]
[  3  14  ]
[  4  3  ]
[  4  4  ]
[  4  5  ]
[  4  13  ]
[  4  14  ]
[  4  15  ]
[  5  4  ]
[  5  5  ]
[  5  6  ]
[  5  14  ]
[  5  15  ]
[  5  16  ]
[  6  5  ]
[  6  6  ]
[  6  7  ]
[  6  15  ]
[  6  16  ]
[  6  17  ]
[  7  6  ]
[  7  7  ]
[  7  8  ]
[  7  16  ]
[  7  17  ]
[  7  18  ]
[  8  7  ]
[  8  8  ]
[  8  9  ]
[  8  17  ]
[  8  18  ]
[  8  19  ]
[  9  8  ]
[  9  9  ]
[  9  10  ]
[  9  18  ]
[  9  19  ]
[  9  20  ]
[  11  1  ]
[  11  2  ]
[  11  11  ]
[  11  12  ]
[  11  21  ]
[  11  22  ]
[  21  11  ]
[  21  12  ]
[  21  21  ]
[  21  22  ]
[  21  31  ]
[  21  32  ]
[  31  21  ]
[  31  22  ]
[  31  31  ]
[  31  32  ]
[  31  41  ]
[  31  42  ]
[  41  31  ]
[  41  32  ]
[  41  41  ]
[  41  42  ]
[  41  51  ]
[  41  52  ]
[  51  41  ]
[  51  42  ]
[  51  51  ]
[  51  52  ]
[  51  61  ]
[  51  62  ]
[  61  51  ]
[  61  52  ]
[  61  61  ]
[  61  62  ]
[  61  71  ]
[  61  72  ]
[  71  61  ]
[  71  62  ]
[  71  71  ]
[  71  72  ]
[  71  81  ]
[  71  82  ]
[  81  71  ]
[  81  72  ]
[  81  81  ]
[  81  82  ]
[  81  91  ]
[  81  92  ]
[  20  9  ]
[  20  10  ]
[  20  19  ]
[  20  20  ]
[  20  29  ]
[  20  30  ]
[  30  19  ]
[  30  20  ]
[  30  29  ]
[  30  30  ]
[  30  39  ]
[  30  40  ]
[  40  29  ]
[  40  30  ]
[  40  39  ]
[  40  40  ]
[  40  49  ]
[  40  50  ]
[  50  39  ]
[  50  40  ]
[  50  49  ]
[  50  50  ]
[  50  59  ]
[  50  60  ]
[  60  49  ]
[  60  50  ]
[  60  59  ]
[  60  60  ]
[  60  69  ]
[  60  70  ]
[  70  59  ]
[  70  60  ]
[  70  69  ]
[  70  70  ]
[  70  79  ]
[  70  80  ]
[  80  69  ]
[  80  70  ]
[  80  79  ]
[  80  80  ]
[  80  89  ]
[  80  90  ]
[  90  79  ]
[  90  80  ]
[  90  89  ]
[  90  90  ]
[  90  99  ]
[  90  100  ]
[  12  1  ]
[  12  2  ]
[  12  3  ]
[  12  11  ]
[  12  12  ]
[  12  13  ]
[  12  21  ]
[  12  22  ]
[  12  23  ]
[  13  2  ]
[  13  3  ]
[  13  4  ]
[  13  12  ]
[  13  13  ]
[  13  14  ]
[  13  22  ]
[  13  23  ]
[  13  24  ]
[  14  3  ]
[  14  4  ]
[  14  5  ]
[  14  13  ]
[  14  14  ]
[  14  15  ]
[  14  23  ]
[  14  24  ]
[  14  25  ]
[  15  4  ]
[  15  5  ]
[  15  6  ]
[  15  14  ]
[  15  15  ]
[  15  16  ]
[  15  24  ]
[  15  25  ]
[  15  26  ]
[  16  5  ]
[  16  6  ]
[  16  7  ]
[  16  15  ]
[  16  16  ]
[  16  17  ]
[  16  25  ]
[  16  26  ]
[  16  27  ]
[  17  6  ]
[  17  7  ]
[  17  8  ]
[  17  16  ]
[  17  17  ]
[  17  18  ]
[  17  26  ]
[  17  27  ]
[  17  28  ]
[  18  7  ]
[  18  8  ]
[  18  9  ]
[  18  17  ]
[  18  18  ]
[  18  19  ]
[  18  27  ]
[  18  28  ]
[  18  29  ]
[  19  8  ]
[  19  9  ]
[  19  10  ]
[  19  18  ]
[  19  19  ]
[  19  20  ]
[  19  28  ]
[  19  29  ]
[  19  30  ]
[  22  11  ]
[  22  12  ]
[  22  13  ]
[  22  21  ]
[  22  22  ]
[  22  23  ]
[  22  31  ]
[  22  32  ]
[  22  33  ]
[  23  12  ]
[  23  13  ]
[  23  14  ]
[  23  22  ]
[  23  23  ]
[  23  24  ]
[  23  32  ]
[  23  33  ]
[  23  34  ]
[  24  13  ]
[  24  14  ]
[  24  15  ]
[  24  23  ]
[  24  24  ]
[  24  25  ]
[  24  33  ]
[  24  34  ]
[  24  35  ]
[  25  14  ]
[  25  15  ]
[  25  16  ]
[  25  24  ]
[  25  25  ]
[  25  26  ]
[  25  34  ]
[  25  35  ]
[  25  36  ]
[  26  15  ]
[  26  16  ]
[  26  17  ]
[  26  25  ]
[  26  26  ]
[  26  27  ]
[  26  35  ]
[  26  36  ]
[  26  37  ]
[  27  16  ]
[  27  17  ]
[  27  18  ]
[  27  26  ]
[  27  27  ]
[  27  28  ]
[  27  36  ]
[  27  37  ]
[  27  38  ]
[  28  17  ]
[  28  18  ]
[  28  19  ]
[  28  27  ]
[  28  28  ]
[  28  29  ]
[  28  37  ]
[  28  38  ]
[  28  39  ]
[  29  18  ]
[  29  19  ]
[  29  20  ]
[  29  28  ]
[  29  29  ]
[  29  30  ]
[  29  38  ]
[  29  39  ]
[  29  40  ]
[  32  21  ]
[  32  22  ]
[  32  23  ]
[  32  31  ]
[  32  32  ]
[  32  33  ]
[  32  41  ]
[  32  42  ]
[  32  43  ]
[  33  22  ]
[  33  23  ]
[  33  24  ]
[  33  32  ]
[  33  33  ]
[  33  34  ]
[  33  42  ]
[  33  43  ]
[  33  44  ]
[  34  23  ]
[  34  24  ]
[  34  25  ]
[  34  33  ]
[  34  34  ]
[  34  35  ]
[  34  43  ]
[  34  44  ]
[  34  45  ]
[  35  24  ]
[  35  25  ]
[  35  26  ]
[  35  34  ]
[  35  35  ]
[  35  36  ]
[  35  44  ]
[  35  45  ]
[  35  46  ]
[  36  25  ]
[  36  26  ]
[  36  27  ]
[  36  35  ]
[  36  36  ]
[  36  37  ]
[  36  45  ]
[  36  46  ]
[  36  47  ]
[  37  26  ]
[  37  27  ]
[  37  28  ]
[  37  36  ]
[  37  37  ]
[  37  38  ]
[  37  46  ]
[  37  47  ]
[  37  48  ]
[  38  27  ]
[  38  28  ]
[  38  29  ]
[  38  37  ]
[  38  38  ]
[  38  39  ]
[  38  47  ]
[  38  48  ]
[  38  49  ]
[  39  28  ]
[  39  29  ]
[  39  30  ]
[  39  38  ]
[  39  39  ]
[  39  40  ]
[  39  48  ]
[  39  49  ]
[  39  50  ]
[  42  31  ]
[  42  32  ]
[  42  33  ]
[  42  41  ]
[  42  42  ]
[  42  43  ]
[  42  51  ]
[  42  52  ]
[  42  53  ]
[  43  32  ]
[  43  33  ]
[  43  34  ]
[  43  42  ]
[  43  43  ]
[  43  44  ]
[  43  52  ]
[  43  53  ]
[  43  54  ]
[  44  33  ]
[  44  34  ]
[  44  35  ]
[  44  43  ]
[  44  44  ]
[  44  45  ]
[  44  53  ]
[  44  54  ]
[  44  55  ]
[  45  34  ]
[  45  35  ]
[  45  36  ]
[  45  44  ]
[  45  45  ]
[  45  46  ]
[  45  54  ]
[  45  55  ]
[  45  56  ]
[  46  35  ]
[  46  36  ]
[  46  37  ]
[  46  45  ]
[  46  46  ]
[  46  47  ]
[  46  55  ]
[  46  56  ]
[  46  57  ]
[  47  36  ]
[  47  37  ]
[  47  38  ]
[  47  46  ]
[  47  47  ]
[  47  48  ]
[  47  56  ]
[  47  57  ]
[  47  58  ]
[  48  37  ]
[  48  38  ]
[  48  39  ]
[  48  47  ]
[  48  48  ]
[  48  49  ]
[  48  57  ]
[  48  58  ]
[  48  59  ]
[  49  38  ]
[  49  39  ]
[  49  40  ]
[  49  48  ]
[  49  49  ]
[  49  50  ]
[  49  58  ]
[  49  59  ]
[  49  60  ]
[  52  41  ]
[  52  42  ]
[  52  43  ]
[  52  51  ]
[  52  52  ]
[  52  53  ]
[  52  61  ]
[  52  62  ]
[  52  63  ]
[  53  42  ]
[  53  43  ]
[  53  44  ]
[  53  52  ]
[  53  53  ]
[  53  54  ]
[  53  62  ]
[  53  63  ]
[  53  64  ]
[  54  43  ]
[  54  44  ]
[  54  45  ]
[  54  53  ]
[  54  54  ]
[  54  55  ]
[  54  63  ]
[  54  64  ]
[  54  65  ]
[  55  44  ]
[  55  45  ]
[  55  46  ]
[  55  54  ]
[  55  55  ]
[  55  56  ]
[  55  64  ]
[  55  65  ]
[  55  66  ]
[  56  45  ]
[  56  46  ]
[  56  47  ]
[  56  55  ]
[  56  56  ]
[  56  57  ]
[  56  65  ]
[  56  66  ]
[  56  67  ]
[  57  46  ]
[  57  47  ]
[  57  48  ]
[  57  56  ]
[  57  57  ]
[  57  58  ]
[  57  66  ]
[  57  67  ]
[  57  68  ]
[  58  47  ]
[  58  48  ]
[  58  49  ]
[  58  57  ]
[  58  58  ]
[  58  59  ]
[  58  67  ]
[  58  68  ]
[  58  69  ]
[  59  48  ]
[  59  49  ]
[  59  50  ]
[  59  58  ]
[  59  59  ]
[  59  60  ]
[  59  68  ]
[  59  69  ]
[  59  70  ]
[  62  51  ]
[  62  52  ]
[  62  53  ]
[  62  61  ]
[  62  62  ]
[  62  63  ]
[  62  71  ]
[  62  72  ]
[  62  73  ]
[  63  52  ]
[  63  53  ]
[  63  54  ]
[  63  62  ]
[  63  63  ]
[  63  64  ]
[  63  72  ]
[  63  73  ]
[  63  74  ]
[  64  53  ]
[  64  54  ]
[  64  55  ]
[  64  63  ]
[  64  64  ]
[  64  65  ]
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[  7  7  ]
[  79  79  ]
[  67  67  ]
[  29  29  ]
[  73  73  ]
[  40  40  ]
[  56  56  ]
[  7  7  ]
[  7  7  ]
[  7  7  ]
[  7  7  ]
[  16  16  ]
[  16  16  ]
[  45  45  ]
[  46  46  ]
[  46  46  ]
[  73  73  ]
[  81  81  ]
[  27  27  ]
[  27  27  ]
[  6  6  ]
[  15  15  ]
[  61  61  ]
[  46  46  ]
[  48  48  ]
[  67  67  ]
[  27  27  ]
[  71  71  ]
[  11  11  ]
[  67  67  ]
[  56  56  ]
[  6  6  ]
[  67  67  ]
[  73  73  ]
[  27  27  ]
[  46  46  ]
[  15  15  ]
[  16  16  ]
[  35  35  ]
[  32  32  ]
[  16  16  ]
[  75  75  ]
[  70  70  ]
[  24  24  ]
[  97  97  ]
[  24  24  ]
[  81  81  ]
[  72  72  ]
[  75  75  ]
[  27  27  ]
[  24  24  ]
[  94  94  ]
[  26  26  ]
[  78  78  ]
[  39  39  ]
[  27  27  ]
[  27  27  ]
[  66  66  ]
[  26  26  ]
[  16  16  ]
[  16  16  ]
[  66  66  ]
[  4  4  ]
[  40  40  ]
[  40  40  ]
[  40  40  ]
[  41  41  ]
[  40  40  ]
[  24  24  ]
[  4  4  ]
[  24  24  ]
[  97  97  ]
[  32  32  ]
[  40  40  ]
[  61  61  ]
[  27  27  ]
[  66  66  ]
[  66  66  ]
[  66  66  ]
[  97  97  ]
[  94  94  ]
[  94  94  ]
[  94  94  ]
[  8  8  ]
[  16  16  ]
[  40  40  ]
[  41  41  ]
[  54  54  ]
[  35  35  ]
[  24  24  ]
[  16  16  ]
[  24  24  ]
[  14  14  ]
[  24  24  ]
[  35  35  ]
[  72  72  ]
[  61  61  ]
[  40  40  ]
[  60  60  ]
[  29  29  ]
[  29  29  ]
[  32  32  ]
[  35  35  ]
[  26  26  ]
[  24  24  ]
[  24  24  ]
[  39  39  ]
[  95  94  ]
[  33  32  ]
[  33  32  ]
[  21  20  ]
[  7  6  ]
[  7  6  ]
[  38  37  ]
[  94  93  ]
[  54  53  ]
[  72  71  ]
[  2  1  ]
[  1  0  ]
[  95  94  ]
[  33  32  ]
[  8  7  ]
[  44  43  ]
[  57  56  ]
[  81  80  ]
[  44  43  ]
[  57  56  ]
[  77  76  ]
[  87  86  ]
[  34  33  ]
[  33  32  ]
[  64  63  ]
[  54  53  ]
[  54  53  ]
[  44  43  ]
[  87  86  ]
[  57  56  ]
[  38  37  ]
[  8  7  ]
[  34  33  ]
[  54  53  ]
[  54  53  ]
[  57  56  ]
[  21  20  ]
[  81  80  ]
[  94  93  ]
[  2  1  ]
[  1  0  ]
[  21  20  ]
[  54  53  ]
[  34  33  ]
[  87  86  ]
[  64  63  ]
[  21  20  ]
[  67  66  ]
[  7  6  ]
[  25  24  ]
[  16  15  ]
[  81  80  ]
[  15  14  ]
[  27  26  ]
[  6  5  ]
[  27  26  ]
[  46  45  ]
[  73  72  ]
[  6  5  ]
[  16  15  ]
[  41  40  ]
[  2  1  ]
[  1  0  ]
[  2  1  ]
[  1  0  ]
[  7  6  ]
[  27  26  ]
[  25  24  ]
[  56  55  ]
[  29  28  ]
[  7  6  ]
[  7  6  ]
[  91  90  ]
[  81  80  ]
[  46  45  ]
[  81  80  ]
[  81  80  ]
[  91  90  ]
[  16  15  ]
[  16  15  ]
[  56  55  ]
[  46  45  ]
[  71  70  ]
[  73  72  ]
[  12  11  ]
[  16  15  ]
[  27  26  ]
[  71  70  ]
[  61  60  ]
[  25  24  ]
[  15  14  ]
[  27  26  ]
[  1  0  ]
[  27  26  ]
[  45  44  ]
[  15  14  ]
[  27  26  ]
[  45  44  ]
[  7  6  ]
[  16  15  ]
[  81  80  ]
[  67  66  ]
[  7  6  ]
[  1  0  ]
[  16  15  ]
[  16  15  ]
[  27  26  ]
[  24  23  ]
[  4  3  ]
[  72  71  ]
[  54  53  ]
[  97  96  ]
[  97  96  ]
[  75  74  ]
[  75  74  ]
[  54  53  ]
[  81  80  ]
[  4  3  ]
[  24  23  ]
[  97  96  ]
[  75  74  ]
[  16  15  ]
[  66  65  ]
[  75  74  ]
[  27  26  ]
[  41  40  ]
[  41  40  ]
[  94  93  ]
[  81  80  ]
[  26  25  ]
[  26  25  ]
[  72  71  ]
[  26  25  ]
[  35  34  ]
[  72  71  ]
[  24  23  ]
[  2  1  ]
[  1  0  ]
[  27  26  ]
[  29  28  ]
[  97  96  ]
[  24  23  ]
[  27  26  ]
[  35  26  ]
[  38  29  ]
[  34  25  ]
[  57  48  ]
[  57  48  ]
[  95  86  ]
[  77  68  ]
[  34  25  ]
[  33  24  ]
[  60  51  ]
[  57  48  ]
[  57  48  ]
[  57  48  ]
[  57  48  ]
[  64  55  ]
[  94  85  ]
[  81  72  ]
[  25  16  ]
[  87  78  ]
[  77  68  ]
[  38  29  ]
[  33  24  ]
[  21  12  ]
[  54  45  ]
[  57  48  ]
[  54  45  ]
[  57  48  ]
[  54  45  ]
[  95  86  ]
[  21  12  ]
[  95  86  ]
[  57  48  ]
[  33  24  ]
[  57  48  ]
[  44  35  ]
[  77  68  ]
[  94  85  ]
[  34  25  ]
[  94  85  ]
[  44  35  ]
[  95  86  ]
[  44  35  ]
[  44  35  ]
[  77  68  ]
[  81  72  ]
[  93  84  ]
[  82  73  ]
[  95  86  ]
[  95  86  ]
[  54  45  ]
[  35  26  ]
[  34  25  ]
[  33  24  ]
[  94  85  ]
[  40  31  ]
[  40  31  ]
[  40  31  ]
[  71  62  ]
[  27  18  ]
[  16  7  ]
[  87  78  ]
[  40  31  ]
[  41  32  ]
[  40  31  ]
[  25  16  ]
[  16  7  ]
[  56  47  ]
[  32  23  ]
[  25  16  ]
[  15  6  ]
[  16  7  ]
[  60  51  ]
[  81  72  ]
[  87  78  ]
[  27  18  ]
[  15  6  ]
[  25  16  ]
[  11  2  ]
[  73  64  ]
[  87  78  ]
[  87  78  ]
[  73  64  ]
[  23  14  ]
[  73  64  ]
[  87  78  ]
[  73  64  ]
[  11  2  ]
[  73  64  ]
[  16  7  ]
[  87  78  ]
[  46  37  ]
[  45  36  ]
[  73  64  ]
[  16  7  ]
[  24  15  ]
[  24  15  ]
[  24  15  ]
[  81  72  ]
[  40  31  ]
[  24  15  ]
[  32  23  ]
[  72  63  ]
[  72  63  ]
[  94  85  ]
[  24  15  ]
[  24  15  ]
[  40  31  ]
[  24  15  ]
[  20  11  ]
[  40  31  ]
[  24  15  ]
[  24  15  ]
[  32  23  ]
[  40  31  ]
[  27  18  ]
[  16  7  ]
[  35  26  ]
[  35  26  ]
[  35  26  ]
[  40  31  ]
[  75  66  ]
[  35  26  ]
[  72  63  ]
[  54  45  ]
[  40  31  ]
[  81  72  ]
[  41  32  ]
[  72  63  ]
[  35  26  ]
[  24  15  ]
[  94  85  ]
[  40  31  ]
[  27  18  ]
[  26  17  ]
[  35  26  ]
[  26  17  ]
[  81  72  ]
[  40  31  ]
[  41  32  ]
[  24  15  ]
[  54  45  ]
[  66  57  ]
[  35  26  ]
[  32  23  ]
[  24  15  ]
[  72  63  ]
[  40  31  ]
[  97  88  ]
[  54  45  ]
[  24  15  ]
[  54  45  ]
[  66  57  ]
[  64  54  ]
[  44  34  ]
[  54  44  ]
[  94  84  ]
[  57  47  ]
[  57  47  ]
[  57  47  ]
[  77  67  ]
[  21  11  ]
[  57  47  ]
[  94  84  ]
[  33  23  ]
[  21  11  ]
[  57  47  ]
[  40  30  ]
[  87  77  ]
[  44  34  ]
[  57  47  ]
[  57  47  ]
[  94  84  ]
[  94  84  ]
[  64  54  ]
[  64  54  ]
[  34  24  ]
[  44  34  ]
[  34  24  ]
[  67  57  ]
[  57  47  ]
[  57  47  ]
[  57  47  ]
[  57  47  ]
[  57  47  ]
[  25  15  ]
[  25  15  ]
[  95  85  ]
[  64  54  ]
[  54  44  ]
[  95  85  ]
[  94  84  ]
[  54  44  ]
[  54  44  ]
[  21  11  ]
[  57  47  ]
[  57  47  ]
[  57  47  ]
[  25  15  ]
[  61  51  ]
[  57  47  ]
[  57  47  ]
[  38  28  ]
[  87  77  ]
[  57  47  ]
[  54  44  ]
[  34  24  ]
[  25  15  ]
[  64  54  ]
[  81  71  ]
[  95  85  ]
[  33  23  ]
[  21  11  ]
[  57  47  ]
[  57  47  ]
[  54  44  ]
[  54  44  ]
[  33  23  ]
[  81  71  ]
[  87  77  ]
[  54  44  ]
[  64  54  ]
[  21  11  ]
[  64  54  ]
[  34  24  ]
[  95  85  ]
[  54  44  ]
[  34  24  ]
[  44  34  ]
[  25  15  ]
[  27  17  ]
[  16  6  ]
[  15  5  ]
[  40  30  ]
[  67  57  ]
[  87  77  ]
[  27  17  ]
[  67  57  ]
[  81  71  ]
[  81  71  ]
[  46  36  ]
[  15  5  ]
[  73  63  ]
[  71  61  ]
[  73  63  ]
[  42  32  ]
[  56  46  ]
[  45  35  ]
[  15  5  ]
[  29  19  ]
[  87  77  ]
[  29  19  ]
[  73  63  ]
[  71  61  ]
[  91  81  ]
[  29  19  ]
[  81  71  ]
[  40  30  ]
[  81  71  ]
[  67  57  ]
[  27  17  ]
[  79  69  ]
[  67  57  ]
[  67  57  ]
[  11  1  ]
[  56  46  ]
[  67  57  ]
[  45  35  ]
[  49  39  ]
[  27  17  ]
[  15  5  ]
[  81  71  ]
[  29  19  ]
[  46  36  ]
[  16  6  ]
[  67  57  ]
[  11  1  ]
[  16  6  ]
[  46  36  ]
[  67  57  ]
[  67  57  ]
[  66  56  ]
[  26  16  ]
[  68  58  ]
[  24  14  ]
[  35  25  ]
[  24  14  ]
[  54  44  ]
[  26  16  ]
[  16  6  ]
[  24  14  ]
[  16  6  ]
[  26  16  ]
[  97  87  ]
[  54  44  ]
[  94  84  ]
[  71  61  ]
[  24  14  ]
[  24  14  ]
[  29  19  ]
[  40  30  ]
[  54  44  ]
[  24  14  ]
[  66  56  ]
[  94  84  ]
[  27  17  ]
[  40  30  ]
[  97  87  ]
[  27  17  ]
[  54  44  ]
[  66  56  ]
[  29  19  ]
[  24  14  ]
[  27  17  ]
[  97  87  ]
[  81  71  ]
[  70  60  ]
[  40  30  ]
[  24  14  ]
[  24  14  ]
[  24  14  ]
[  24  14  ]
[  24  14  ]
[  24  14  ]
[  24  14  ]
[  72  62  ]
[  72  62  ]
[  32  22  ]
[  24  14  ]
[  27  17  ]
[  78  68  ]
[  26  16  ]
[  57  46  ]
[  57  46  ]
[  39  28  ]
[  81  70  ]
[  57  46  ]
[  94  83  ]
[  94  83  ]
[  54  43  ]
[  38  27  ]
[  34  23  ]
[  54  43  ]
[  54  43  ]
[  44  33  ]
[  94  83  ]
[  35  24  ]
[  44  33  ]
[  54  43  ]
[  95  84  ]
[  54  43  ]
[  95  84  ]
[  35  24  ]
[  25  14  ]
[  57  46  ]
[  94  83  ]
[  94  83  ]
[  57  46  ]
[  81  70  ]
[  44  33  ]
[  77  66  ]
[  54  43  ]
[  38  27  ]
[  25  14  ]
[  54  43  ]
[  25  14  ]
[  64  53  ]
[  87  76  ]
[  54  43  ]
[  95  84  ]
[  54  43  ]
[  54  43  ]
[  54  43  ]
[  25  14  ]
[  81  70  ]
[  54  43  ]
[  54  43  ]
[  77  66  ]
[  54  43  ]
[  77  66  ]
[  54  43  ]
[  22  11  ]
[  29  18  ]
[  79  68  ]
[  78  67  ]
[  45  34  ]
[  71  60  ]
[  29  18  ]
[  46  35  ]
[  87  76  ]
[  81  70  ]
[  73  62  ]
[  52  41  ]
[  87  76  ]
[  71  60  ]
[  56  45  ]
[  29  18  ]
[  91  80  ]
[  81  70  ]
[  25  14  ]
[  25  14  ]
[  73  62  ]
[  45  34  ]
[  45  34  ]
[  73  62  ]
[  81  70  ]
[  25  14  ]
[  45  34  ]
[  25  14  ]
[  49  38  ]
[  29  18  ]
[  27  16  ]
[  56  45  ]
[  25  14  ]
[  81  70  ]
[  73  62  ]
[  16  5  ]
[  79  68  ]
[  29  18  ]
[  39  28  ]
[  39  28  ]
[  81  70  ]
[  41  30  ]
[  24  13  ]
[  24  13  ]
[  94  83  ]
[  72  61  ]
[  32  21  ]
[  75  64  ]
[  26  15  ]
[  41  30  ]
[  27  16  ]
[  24  13  ]
[  94  83  ]
[  24  13  ]
[  32  21  ]
[  27  16  ]
[  29  18  ]
[  27  16  ]
[  16  5  ]
[  16  5  ]
[  27  16  ]
[  29  18  ]
[  24  13  ]
[  24  13  ]
[  35  24  ]
[  27  16  ]
[  29  18  ]
[  32  21  ]
[  32  21  ]
[  41  30  ]
[  26  15  ]
[  24  13  ]
[  97  86  ]
[  72  61  ]
[  72  61  ]
[  41  30  ]
[  29  18  ]
[  27  16  ]
[  94  83  ]
[  72  61  ]
[  41  30  ]
[  16  5  ]
[  66  55  ]
[  16  5  ]
[  75  64  ]
[  35  24  ]
[  24  13  ]
[  54  43  ]
[  72  61  ]
[  24  13  ]
[  24  13  ]
[  72  61  ]
[  72  61  ]
[  94  83  ]
[  24  13  ]
            ]
          ]

        if searcherstrat = "myidea - fugitive2"
         [ set myideadata matrix:from-row-list [
             [  29  39 ]
            [  59  69  ]
[  86  96  ]
[  89  99  ]
[  79  89  ]
[  49  59  ]
[  49  59  ]
[  80  90  ]
[  10  20  ]
[  30  40  ]
[  10  20  ]
[  10  20  ]
[  9  19  ]
[  19  29  ]
[  40  50  ]
[  70  80  ]
[  50  60  ]
[  1  2  ]
[  1  2  ]
[  2  3  ]
[  5  6  ]
[  6  7  ]
[  7  8  ]
[  7  8  ]
[  8  9  ]
[  8  9  ]
[  68  69  ]
[  90  91  ]
[  90  91  ]
[  90  91  ]
[  92  93  ]
[  93  94  ]
[  90  91  ]
[  94  95  ]
[  90  91  ]
[  2  3  ]
[  94  95  ]
[  8  9  ]
[  8  9  ]
[  5  6  ]
[  6  7  ]
[  91  92  ]
[  78  79  ]
[  1  2  ]
[  90  91  ]
[  91  92  ]
[  1  2  ]
[  4  5  ]
[  3  4  ]
[  2  3  ]
[  1  2  ]
[  2  3  ]
[  6  7  ]
[  1  1  ]
[  1  1  ]
[  1  1  ]
[  1  1  ]
[  1  1  ]
[  2  2  ]
[  2  2  ]
[  2  2  ]
[  2  2  ]
[  3  3  ]
[  3  3  ]
[  3  3  ]
[  3  3  ]
[  3  3  ]
[  3  3  ]
[  3  3  ]
[  3  3  ]
[  4  4  ]
[  4  4  ]
[  4  4  ]
[  4  4  ]
[  4  4  ]
[  5  5  ]
[  5  5  ]
[  6  6  ]
[  6  6  ]
[  6  6  ]
[  6  6  ]
[  7  7  ]
[  7  7  ]
[  8  8  ]
[  8  8  ]
[  8  8  ]
[  9  9  ]
[  9  9  ]
[  9  9  ]
[  10  10  ]
[  19  19  ]
[  19  19  ]
[  19  19  ]
[  19  19  ]
[  19  19  ]
[  19  19  ]
[  29  29  ]
[  29  29  ]
[  29  29  ]
[  29  29  ]
[  30  30  ]
[  30  30  ]
[  30  30  ]
[  40  40  ]
[  49  49  ]
[  59  59  ]
[  60  60  ]
[  69  69  ]
[  79  79  ]
[  80  80  ]
[  90  90  ]
[  90  90  ]
[  91  91  ]
[  92  92  ]
[  96  96  ]
[  94  94  ]
[  10  10  ]
[  91  91  ]
[  50  50  ]
[  92  92  ]
[  94  94  ]
[  97  97  ]
[  94  94  ]
[  80  80  ]
[  91  91  ]
[  93  93  ]
[  30  30  ]
[  10  10  ]
[  70  70  ]
[  92  92  ]
[  70  70  ]
[  98  98  ]
[  50  50  ]
[  49  49  ]
[  4  4  ]
[  39  39  ]
[  2  2  ]
[  3  3  ]
[  5  5  ]
[  4  4  ]
[  5  5  ]
[  2  2  ]
[  9  9  ]
[  4  4  ]
[  3  3  ]
[  89  89  ]
[  7  7  ]
[  29  29  ]
[  59  59  ]
[  29  29  ]
[  6  6  ]
[  9  9  ]
[  7  7  ]
[  79  79  ]
[  8  8  ]
[  9  9  ]
[  89  89  ]
[  6  6  ]
[  70  70  ]
[  70  70  ]
[  93  93  ]
[  20  20  ]
[  94  94  ]
[  50  50  ]
[  8  8  ]
[  3  3  ]
[  7  7  ]
[  7  7  ]
[  19  19  ]
[  50  50  ]
[  30  30  ]
[  20  20  ]
[  10  10  ]
[  98  98  ]
[  79  79  ]
[  1  1  ]
[  1  1  ]
[  9  9  ]
[  9  9  ]
[  4  4  ]
[  97  97  ]
[  89  89  ]
[  89  89  ]
[  30  30  ]
[  10  10  ]
[  20  20  ]
[  30  30  ]
[  30  30  ]
[  40  40  ]
[  30  30  ]
[  91  91  ]
[  49  49  ]
[  3  3  ]
[  1  1  ]
[  5  5  ]
[  1  1  ]
[  1  1  ]
[  2  2  ]
[  5  5  ]
[  5  5  ]
[  19  19  ]
[  5  5  ]
[  6  6  ]
[  19  19  ]
[  91  91  ]
[  91  91  ]
[  92  92  ]
[  80  80  ]
[  80  80  ]
[  70  70  ]
[  70  70  ]
[  2  1  ]
[  2  1  ]
[  3  2  ]
[  3  2  ]
[  5  4  ]
[  8  7  ]
[  8  7  ]
[  9  8  ]
[  9  8  ]
[  9  8  ]
[  91  90  ]
[  92  91  ]
[  95  94  ]
[  91  90  ]
[  93  92  ]
[  3  2  ]
[  5  4  ]
[  6  5  ]
[  94  93  ]
[  91  90  ]
[  94  93  ]
[  3  2  ]
[  96  95  ]
[  6  5  ]
[  5  4  ]
[  4  3  ]
[  4  3  ]
[  4  3  ]
[  2  1  ]
[  5  4  ]
[  7  6  ]
[  30  20  ]
[  69  59  ]
[  80  70  ]
[  90  80  ]
[  90  80  ]
[  50  40  ]
[  90  80  ]
[  80  70  ]
[  49  39  ]
[  39  29  ]
[  60  50  ]
[  96  86  ]
[  90  80  ]
[  1  1  ]
[  1  2  ]
[  1  11  ]
[  1  12  ]
[  10  9  ]
[  10  10  ]
[  10  19  ]
[  10  20  ]
[  91  81  ]
[  91  82  ]
[  91  91  ]
[  91  92  ]
[  100  89  ]
[  100  90  ]
[  100  99  ]
[  100  100  ]
[  92  81  ]
[  92  82  ]
[  92  83  ]
[  92  91  ]
[  92  92  ]
[  92  93  ]
[  93  82  ]
[  93  83  ]
[  93  84  ]
[  93  92  ]
[  93  93  ]
[  93  94  ]
[  94  83  ]
[  94  84  ]
[  94  85  ]
[  94  93  ]
[  94  94  ]
[  94  95  ]
[  95  84  ]
[  95  85  ]
[  95  86  ]
[  95  94  ]
[  95  95  ]
[  95  96  ]
[  96  85  ]
[  96  86  ]
[  96  87  ]
[  96  95  ]
[  96  96  ]
[  96  97  ]
[  97  86  ]
[  97  87  ]
[  97  88  ]
[  97  96  ]
[  97  97  ]
[  97  98  ]
[  98  87  ]
[  98  88  ]
[  98  89  ]
[  98  97  ]
[  98  98  ]
[  98  99  ]
[  99  88  ]
[  99  89  ]
[  99  90  ]
[  99  98  ]
[  99  99  ]
[  99  100  ]
[  2  1  ]
[  2  2  ]
[  2  3  ]
[  2  11  ]
[  2  12  ]
[  2  13  ]
[  3  2  ]
[  3  3  ]
[  3  4  ]
[  3  12  ]
[  3  13  ]
[  3  14  ]
[  4  3  ]
[  4  4  ]
[  4  5  ]
[  4  13  ]
[  4  14  ]
[  4  15  ]
[  5  4  ]
[  5  5  ]
[  5  6  ]
[  5  14  ]
[  5  15  ]
[  5  16  ]
[  6  5  ]
[  6  6  ]
[  6  7  ]
[  6  15  ]
[  6  16  ]
[  6  17  ]
[  7  6  ]
[  7  7  ]
[  7  8  ]
[  7  16  ]
[  7  17  ]
[  7  18  ]
[  8  7  ]
[  8  8  ]
[  8  9  ]
[  8  17  ]
[  8  18  ]
[  8  19  ]
[  9  8  ]
[  9  9  ]
[  9  10  ]
[  9  18  ]
[  9  19  ]
[  9  20  ]
[  11  1  ]
[  11  2  ]
[  11  11  ]
[  11  12  ]
[  11  21  ]
[  11  22  ]
[  21  11  ]
[  21  12  ]
[  21  21  ]
[  21  22  ]
[  21  31  ]
[  21  32  ]
[  31  21  ]
[  31  22  ]
[  31  31  ]
[  31  32  ]
[  31  41  ]
[  31  42  ]
[  41  31  ]
[  41  32  ]
[  41  41  ]
[  41  42  ]
[  41  51  ]
[  41  52  ]
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[  51  61  ]
[  51  62  ]
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[  61  52  ]
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[  61  62  ]
[  61  71  ]
[  61  72  ]
[  71  61  ]
[  71  62  ]
[  71  71  ]
[  71  72  ]
[  71  81  ]
[  71  82  ]
[  81  71  ]
[  81  72  ]
[  81  81  ]
[  81  82  ]
[  81  91  ]
[  81  92  ]
[  20  9  ]
[  20  10  ]
[  20  19  ]
[  20  20  ]
[  20  29  ]
[  20  30  ]
[  30  19  ]
[  30  20  ]
[  30  29  ]
[  30  30  ]
[  30  39  ]
[  30  40  ]
[  40  29  ]
[  40  30  ]
[  40  39  ]
[  40  40  ]
[  40  49  ]
[  40  50  ]
[  50  39  ]
[  50  40  ]
[  50  49  ]
[  50  50  ]
[  50  59  ]
[  50  60  ]
[  60  49  ]
[  60  50  ]
[  60  59  ]
[  60  60  ]
[  60  69  ]
[  60  70  ]
[  70  59  ]
[  70  60  ]
[  70  69  ]
[  70  70  ]
[  70  79  ]
[  70  80  ]
[  80  69  ]
[  80  70  ]
[  80  79  ]
[  80  80  ]
[  80  89  ]
[  80  90  ]
[  90  79  ]
[  90  80  ]
[  90  89  ]
[  90  90  ]
[  90  99  ]
[  90  100  ]
[  12  1  ]
[  12  2  ]
[  12  3  ]
[  12  11  ]
[  12  12  ]
[  12  13  ]
[  12  21  ]
[  12  22  ]
[  12  23  ]
[  13  2  ]
[  13  3  ]
[  13  4  ]
[  13  12  ]
[  13  13  ]
[  13  14  ]
[  13  22  ]
[  13  23  ]
[  13  24  ]
[  14  3  ]
[  14  4  ]
[  14  5  ]
[  14  13  ]
[  14  14  ]
[  14  15  ]
[  14  23  ]
[  14  24  ]
[  14  25  ]
[  15  4  ]
[  15  5  ]
[  15  6  ]
[  15  14  ]
[  15  15  ]
[  15  16  ]
[  15  24  ]
[  15  25  ]
[  15  26  ]
[  16  5  ]
[  16  6  ]
[  16  7  ]
[  16  15  ]
[  16  16  ]
[  16  17  ]
[  16  25  ]
[  16  26  ]
[  16  27  ]
[  17  6  ]
[  17  7  ]
[  17  8  ]
[  17  16  ]
[  17  17  ]
[  17  18  ]
[  17  26  ]
[  17  27  ]
[  17  28  ]
[  18  7  ]
[  18  8  ]
[  18  9  ]
[  18  17  ]
[  18  18  ]
[  18  19  ]
[  18  27  ]
[  18  28  ]
[  18  29  ]
[  19  8  ]
[  19  9  ]
[  19  10  ]
[  19  18  ]
[  19  19  ]
[  19  20  ]
[  19  28  ]
[  19  29  ]
[  19  30  ]
[  22  11  ]
[  22  12  ]
[  22  13  ]
[  22  21  ]
[  22  22  ]
[  22  23  ]
[  22  31  ]
[  22  32  ]
[  22  33  ]
[  23  12  ]
[  23  13  ]
[  23  14  ]
[  23  22  ]
[  23  23  ]
[  23  24  ]
[  23  32  ]
[  23  33  ]
[  23  34  ]
[  24  13  ]
[  24  14  ]
[  24  15  ]
[  24  23  ]
[  24  24  ]
[  24  25  ]
[  24  33  ]
[  24  34  ]
[  24  35  ]
[  25  14  ]
[  25  15  ]
[  25  16  ]
[  25  24  ]
[  25  25  ]
[  25  26  ]
[  25  34  ]
[  25  35  ]
[  25  36  ]
[  26  15  ]
[  26  16  ]
[  26  17  ]
[  26  25  ]
[  26  26  ]
[  26  27  ]
[  26  35  ]
[  26  36  ]
[  26  37  ]
[  27  16  ]
[  27  17  ]
[  27  18  ]
[  27  26  ]
[  27  27  ]
[  27  28  ]
[  27  36  ]
[  27  37  ]
[  27  38  ]
[  28  17  ]
[  28  18  ]
[  28  19  ]
[  28  27  ]
[  28  28  ]
[  28  29  ]
[  28  37  ]
[  28  38  ]
[  28  39  ]
[  29  18  ]
[  29  19  ]
[  29  20  ]
[  29  28  ]
[  29  29  ]
[  29  30  ]
[  29  38  ]
[  29  39  ]
[  29  40  ]
[  32  21  ]
[  32  22  ]
[  32  23  ]
[  32  31  ]
[  32  32  ]
[  32  33  ]
[  32  41  ]
[  32  42  ]
[  32  43  ]
[  33  22  ]
[  33  23  ]
[  33  24  ]
[  33  32  ]
[  33  33  ]
[  33  34  ]
[  33  42  ]
[  33  43  ]
[  33  44  ]
[  34  23  ]
[  34  24  ]
[  34  25  ]
[  34  33  ]
[  34  34  ]
[  34  35  ]
[  34  43  ]
[  34  44  ]
[  34  45  ]
[  35  24  ]
[  35  25  ]
[  35  26  ]
[  35  34  ]
[  35  35  ]
[  35  36  ]
[  35  44  ]
[  35  45  ]
[  35  46  ]
[  36  25  ]
[  36  26  ]
[  36  27  ]
[  36  35  ]
[  36  36  ]
[  36  37  ]
[  36  45  ]
[  36  46  ]
[  36  47  ]
[  37  26  ]
[  37  27  ]
[  37  28  ]
[  37  36  ]
[  37  37  ]
[  37  38  ]
[  37  46  ]
[  37  47  ]
[  37  48  ]
[  38  27  ]
[  38  28  ]
[  38  29  ]
[  38  37  ]
[  38  38  ]
[  38  39  ]
[  38  47  ]
[  38  48  ]
[  38  49  ]
[  39  28  ]
[  39  29  ]
[  39  30  ]
[  39  38  ]
[  39  39  ]
[  39  40  ]
[  39  48  ]
[  39  49  ]
[  39  50  ]
[  42  31  ]
[  42  32  ]
[  42  33  ]
[  42  41  ]
[  42  42  ]
[  42  43  ]
[  42  51  ]
[  42  52  ]
[  42  53  ]
[  43  32  ]
[  43  33  ]
[  43  34  ]
[  43  42  ]
[  43  43  ]
[  43  44  ]
[  43  52  ]
[  43  53  ]
[  43  54  ]
[  44  33  ]
[  44  34  ]
[  44  35  ]
[  44  43  ]
[  44  44  ]
[  44  45  ]
[  44  53  ]
[  44  54  ]
[  44  55  ]
[  45  34  ]
[  45  35  ]
[  45  36  ]
[  45  44  ]
[  45  45  ]
[  45  46  ]
[  45  54  ]
[  45  55  ]
[  45  56  ]
[  46  35  ]
[  46  36  ]
[  46  37  ]
[  46  45  ]
[  46  46  ]
[  46  47  ]
[  46  55  ]
[  46  56  ]
[  46  57  ]
[  47  36  ]
[  47  37  ]
[  47  38  ]
[  47  46  ]
[  47  47  ]
[  47  48  ]
[  47  56  ]
[  47  57  ]
[  47  58  ]
[  48  37  ]
[  48  38  ]
[  48  39  ]
[  48  47  ]
[  48  48  ]
[  48  49  ]
[  48  57  ]
[  48  58  ]
[  48  59  ]
[  49  38  ]
[  49  39  ]
[  49  40  ]
[  49  48  ]
[  49  49  ]
[  49  50  ]
[  49  58  ]
[  49  59  ]
[  49  60  ]
[  52  41  ]
[  52  42  ]
[  52  43  ]
[  52  51  ]
[  52  52  ]
[  52  53  ]
[  52  61  ]
[  52  62  ]
[  52  63  ]
[  53  42  ]
[  53  43  ]
[  53  44  ]
[  53  52  ]
[  53  53  ]
[  53  54  ]
[  53  62  ]
[  53  63  ]
[  53  64  ]
[  54  43  ]
[  54  44  ]
[  54  45  ]
[  54  53  ]
[  54  54  ]
[  54  55  ]
[  54  63  ]
[  54  64  ]
[  54  65  ]
[  55  44  ]
[  55  45  ]
[  55  46  ]
[  55  54  ]
[  55  55  ]
[  55  56  ]
[  55  64  ]
[  55  65  ]
[  55  66  ]
[  56  45  ]
[  56  46  ]
[  56  47  ]
[  56  55  ]
[  56  56  ]
[  56  57  ]
[  56  65  ]
[  56  66  ]
[  56  67  ]
[  57  46  ]
[  57  47  ]
[  57  48  ]
[  57  56  ]
[  57  57  ]
[  57  58  ]
[  57  66  ]
[  57  67  ]
[  57  68  ]
[  58  47  ]
[  58  48  ]
[  58  49  ]
[  58  57  ]
[  58  58  ]
[  58  59  ]
[  58  67  ]
[  58  68  ]
[  58  69  ]
[  59  48  ]
[  59  49  ]
[  59  50  ]
[  59  58  ]
[  59  59  ]
[  59  60  ]
[  59  68  ]
[  59  69  ]
[  59  70  ]
[  62  51  ]
[  62  52  ]
[  62  53  ]
[  62  61  ]
[  62  62  ]
[  62  63  ]
[  62  71  ]
[  62  72  ]
[  62  73  ]
[  63  52  ]
[  63  53  ]
[  63  54  ]
[  63  62  ]
[  63  63  ]
[  63  64  ]
[  63  72  ]
[  63  73  ]
[  63  74  ]
[  64  53  ]
[  64  54  ]
[  64  55  ]
[  64  63  ]
[  64  64  ]
[  64  65  ]
[  64  73  ]
[  64  74  ]
[  64  75  ]
[  65  54  ]
[  65  55  ]
[  65  56  ]
[  65  64  ]
[  65  65  ]
[  65  66  ]
[  65  74  ]
[  65  75  ]
[  65  76  ]
[  66  55  ]
[  66  56  ]
[  66  57  ]
[  66  65  ]
[  66  66  ]
[  66  67  ]
[  66  75  ]
[  66  76  ]
[  66  77  ]
[  67  56  ]
[  67  57  ]
[  67  58  ]
[  67  66  ]
[  67  67  ]
[  67  68  ]
[  67  76  ]
[  67  77  ]
[  67  78  ]
[  68  57  ]
[  68  58  ]
[  68  59  ]
[  68  67  ]
[  68  68  ]
[  68  69  ]
[  68  77  ]
[  68  78  ]
[  68  79  ]
[  69  58  ]
[  69  59  ]
[  69  60  ]
[  69  68  ]
[  69  69  ]
[  69  70  ]
[  69  78  ]
[  69  79  ]
[  69  80  ]
[  72  61  ]
[  72  62  ]
[  72  63  ]
[  72  71  ]
[  72  72  ]
[  72  73  ]
[  72  81  ]
[  72  82  ]
[  72  83  ]
[  73  62  ]
[  73  63  ]
[  73  64  ]
[  73  72  ]
[  73  73  ]
[  73  74  ]
[  73  82  ]
[  73  83  ]
[  73  84  ]
[  74  63  ]
[  74  64  ]
[  74  65  ]
[  74  73  ]
[  74  74  ]
[  74  75  ]
[  74  83  ]
[  74  84  ]
[  74  85  ]
[  75  64  ]
[  75  65  ]
[  75  66  ]
[  75  74  ]
[  75  75  ]
[  75  76  ]
[  75  84  ]
[  75  85  ]
[  75  86  ]
[  76  65  ]
[  76  66  ]
[  76  67  ]
[  76  75  ]
[  76  76  ]
[  76  77  ]
[  76  85  ]
[  76  86  ]
[  76  87  ]
[  77  66  ]
[  77  67  ]
[  77  68  ]
[  77  76  ]
[  77  77  ]
[  77  78  ]
[  77  86  ]
[  77  87  ]
[  77  88  ]
[  78  67  ]
[  78  68  ]
[  78  69  ]
[  78  77  ]
[  78  78  ]
[  78  79  ]
[  78  87  ]
[  78  88  ]
[  78  89  ]
[  79  68  ]
[  79  69  ]
[  79  70  ]
[  79  78  ]
[  79  79  ]
[  79  80  ]
[  79  88  ]
[  79  89  ]
[  79  90  ]
[  82  71  ]
[  82  72  ]
[  82  73  ]
[  82  81  ]
[  82  82  ]
[  82  83  ]
[  82  91  ]
[  82  92  ]
[  82  93  ]
[  83  72  ]
[  83  73  ]
[  83  74  ]
[  83  82  ]
[  83  83  ]
[  83  84  ]
[  83  92  ]
[  83  93  ]
[  83  94  ]
[  84  73  ]
[  84  74  ]
[  84  75  ]
[  84  83  ]
[  84  84  ]
[  84  85  ]
[  84  93  ]
[  84  94  ]
[  84  95  ]
[  85  74  ]
[  85  75  ]
[  85  76  ]
[  85  84  ]
[  85  85  ]
[  85  86  ]
[  85  94  ]
[  85  95  ]
[  85  96  ]
[  86  75  ]
[  86  76  ]
[  86  77  ]
[  86  85  ]
[  86  86  ]
[  86  87  ]
[  86  95  ]
[  86  96  ]
[  86  97  ]
[  87  76  ]
[  87  77  ]
[  87  78  ]
[  87  86  ]
[  87  87  ]
[  87  88  ]
[  87  96  ]
[  87  97  ]
[  87  98  ]
[  88  77  ]
[  88  78  ]
[  88  79  ]
[  88  87  ]
[  88  88  ]
[  88  89  ]
[  88  97  ]
[  88  98  ]
[  88  99  ]
[  89  78  ]
[  89  79  ]
[  89  80  ]
[  89  88  ]
[  89  89  ]
[  89  90  ]
[  89  98  ]
[  89  99  ]
[  89  100  ]
           ]
         ]

     if searcherstrat = "myidea - gangster3"
     [ set myideadata matrix:from-row-list [
        [  1  1  ]
[  1  2  ]
[  1  11  ]
[  1  12  ]
[  10  9  ]
[  10  10  ]
[  10  19  ]
[  10  20  ]
[  91  81  ]
[  91  82  ]
[  91  91  ]
[  91  92  ]
[  100  89  ]
[  100  90  ]
[  100  99  ]
[  100  100  ]
[  92  81  ]
[  92  82  ]
[  92  83  ]
[  92  91  ]
[  92  92  ]
[  92  93  ]
[  93  82  ]
[  93  83  ]
[  93  84  ]
[  93  92  ]
[  93  93  ]
[  93  94  ]
[  94  83  ]
[  94  84  ]
[  94  85  ]
[  94  93  ]
[  94  94  ]
[  94  95  ]
[  95  84  ]
[  95  85  ]
[  95  86  ]
[  95  94  ]
[  95  95  ]
[  95  96  ]
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[  3  4  ]
[  20  11  ]
[  40  31  ]
[  20  11  ]
[  3  14  ]
[  20  30  ]
[  40  31  ]
[  75  66  ]
[  8  8  ]
[  8  17  ]
[  8  9  ]
     ]
     ]



end

;;update the searchers ideal transition matrix according to new data
to update-searcher-idea-transitionmatrix

    if ((targetseenat != 0 and targetmovedto != 0) or time = 0) and (searcherstrat = "myidea - gangster1" or searcherstrat = "myidea - gangster2" or searcherstrat = "myidea - gangster3" or searcherstrat = "myidea - fugitive2")
    [
      ;;get generated data ie conform to generated data
      set-generated-dataset

      ;;for rows
      set k 0

      ;;for columns
      set j 0

      ;;loop through all rows and columns
      while [k <= 99]
        [
          while [j <= 99]
          [
          ;;rowcount variables
          set totalrows 0
          set fromrows 0
          set torows 0

          ;;get diminsion of data
          set datadim matrix:dimensions myideadata
          set totalrows first datadim

          set i 0
          while [i <= totalrows - 1]
          [
            ;;count where the target is coming from
            if matrix:get myideadata i 0 = k + 1
            [set fromrows fromrows + 1]

            ;;count wher the target is going to from that cell
            if matrix:get myideadata i 0 = k + 1 and matrix:get myideadata i 1 = j + 1
            [set torows torows + 1]

            set i i + 1
            ]

          ;;calculate new transition cell value
          set newtranscell torows / fromrows

          ;;set new value
          ifelse fromrows = 0
          [
            ;; if demominator is 0 set new value to zero
            matrix:set targetknowntransitionmatrix k j 0
            ]
          [
            matrix:set targetknowntransitionmatrix k j newtranscell
            ]


          set j j + 1
          ]
        set k k + 1
        ]

        ;;import assumptions
        ifelse searcherstrat = "myidea - gangster1"
          [
            ;;hideouts
            matrix:set-column targetknowntransitionmatrix 81 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix 81))
            matrix:set-column targetknowntransitionmatrix 88 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix 88))
            matrix:set-column targetknowntransitionmatrix 14 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix 14))

            ;;places to avoid
            matrix:set-column targetknowntransitionmatrix 1 (map [ ?1 -> ?1 * .1 ] (matrix:get-column targetknowntransitionmatrix 1))
            matrix:set-column targetknowntransitionmatrix 31 (map [ ?1 -> ?1 * .1 ] (matrix:get-column targetknowntransitionmatrix 31))
            matrix:set-column targetknowntransitionmatrix 19 (map [ ?1 -> ?1 * .1 ] (matrix:get-column targetknowntransitionmatrix 19))

            ;;country to avoid
            set i 0
            while [i < gridsize / 2]
               [
                 matrix:set-column targetknowntransitionmatrix i (map [ ?1 -> ?1 * .01 ] (matrix:get-column targetknowntransitionmatrix i))
                 set i i + 1
               ]

             ;;country to stay in
             set i gridsize / 2
             while [i < gridsize]
               [
                 matrix:set-column targetknowntransitionmatrix i (map [ ?1 -> ?1 * 10 ] (matrix:get-column targetknowntransitionmatrix i))
                 set i i + 1
               ]



             ]
         [ ifelse searcherstrat = "myidea - gangster2"
          [
             ;;hideouts
             matrix:set-column targetknowntransitionmatrix 61 (map [ ?1 -> ?1 * 1.2 ] (matrix:get-column targetknowntransitionmatrix 81))
             matrix:set-column targetknowntransitionmatrix 88 (map [ ?1 -> ?1 * 1.2 ] (matrix:get-column targetknowntransitionmatrix 88))
             matrix:set-column targetknowntransitionmatrix 27 (map [ ?1 -> ?1 * 1.2 ] (matrix:get-column targetknowntransitionmatrix 14))

             ;;places to avoid
             matrix:set-column targetknowntransitionmatrix 0 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 1))
             matrix:set-column targetknowntransitionmatrix 21 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 31))
             matrix:set-column targetknowntransitionmatrix 54 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 31))
             matrix:set-column targetknowntransitionmatrix 91 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 19))

             matrix:set-column targetknowntransitionmatrix 1 (map [ ?1 -> ?1 * .9 ] (matrix:get-column targetknowntransitionmatrix 1))
             matrix:set-column targetknowntransitionmatrix 11 (map [ ?1 -> ?1 * .9 ] (matrix:get-column targetknowntransitionmatrix 31))
             matrix:set-column targetknowntransitionmatrix 10 (map [ ?1 -> ?1 * .9 ] (matrix:get-column targetknowntransitionmatrix 31))
             matrix:set-column targetknowntransitionmatrix 20 (map [ ?1 -> ?1 * .9 ] (matrix:get-column targetknowntransitionmatrix 19))

             ]
          [ ifelse searcherstrat = "myidea - fugitive2"
            [
            ;;hideouts
            matrix:set-column targetknowntransitionmatrix 64 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix 64))

            set i 0
            while [i < 10]
               [
                 matrix:set-column targetknowntransitionmatrix i (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix i))
                 matrix:set-column targetknowntransitionmatrix i + 90 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix (i + 90)))
                 matrix:set-column targetknowntransitionmatrix i * 10 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix (i * 10)))
                 matrix:set-column targetknowntransitionmatrix i * 10 + 9 (map [ ?1 -> ?1 * 2 ] (matrix:get-column targetknowntransitionmatrix (i * 10 + 9)))
                 set i i + 1
               ]

             ;;places to avoid
             matrix:set-column targetknowntransitionmatrix 32 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 32))
             matrix:set-column targetknowntransitionmatrix 42 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 42))
             matrix:set-column targetknowntransitionmatrix 66 (map [ ?1 -> ?1 * .5 ] (matrix:get-column targetknowntransitionmatrix 66))
             matrix:set-column targetknowntransitionmatrix 77 (map [ ?1 -> ?1 * .9 ] (matrix:get-column targetknowntransitionmatrix 77))

             ;;will not cross
             matrix:set targetknowntransitionmatrix 67 68 0
             matrix:set targetknowntransitionmatrix 57 58 0
             matrix:set targetknowntransitionmatrix 47 48 0
             matrix:set targetknowntransitionmatrix 37 38 0
            ]
            [ if searcherstrat = "myidea - gangster3"
               [
                ;;boundarys
                matrix:set targetknowntransitionmatrix 82  92 0
                matrix:set targetknowntransitionmatrix 83  93 0
                matrix:set targetknowntransitionmatrix 84  94 0
                matrix:set targetknowntransitionmatrix 92  82 0
                matrix:set targetknowntransitionmatrix 93  83 0
                matrix:set targetknowntransitionmatrix 85  87 0
                matrix:set targetknowntransitionmatrix 86  88 0
                matrix:set targetknowntransitionmatrix 87  89 0
                matrix:set targetknowntransitionmatrix 95  85 0
                matrix:set targetknowntransitionmatrix 96  86 0
                matrix:set targetknowntransitionmatrix 97  87 0
                matrix:set targetknowntransitionmatrix 61  71 0
                matrix:set targetknowntransitionmatrix 62  72 0
                matrix:set targetknowntransitionmatrix 63  73 0
                matrix:set targetknowntransitionmatrix 64  74 0
                matrix:set targetknowntransitionmatrix 65  75 0
                matrix:set targetknowntransitionmatrix 66  76 0
                matrix:set targetknowntransitionmatrix 71  61 0
                matrix:set targetknowntransitionmatrix 72  62 0
                matrix:set targetknowntransitionmatrix 73  63 0
                matrix:set targetknowntransitionmatrix 74  64 0
                matrix:set targetknowntransitionmatrix 75  65 0
                matrix:set targetknowntransitionmatrix 76  66 0
                matrix:set targetknowntransitionmatrix 98  99 0
                matrix:set targetknowntransitionmatrix 99  98 0
                matrix:set targetknowntransitionmatrix 88  89 0
                matrix:set targetknowntransitionmatrix 89  88 0
                matrix:set targetknowntransitionmatrix 50  60 0
                matrix:set targetknowntransitionmatrix 51  61 0
                matrix:set targetknowntransitionmatrix 58  68 0
                matrix:set targetknowntransitionmatrix 59  69 0
                matrix:set targetknowntransitionmatrix 40  50 0
                matrix:set targetknowntransitionmatrix 41  51 0
                matrix:set targetknowntransitionmatrix 43  53 0
                matrix:set targetknowntransitionmatrix 45  55 0
                matrix:set targetknowntransitionmatrix 46  56 0
                matrix:set targetknowntransitionmatrix 47  57 0
                matrix:set targetknowntransitionmatrix 49  59 0
                matrix:set targetknowntransitionmatrix 39  49 0
                matrix:set targetknowntransitionmatrix 22  32 0
                matrix:set targetknowntransitionmatrix 23  33 0
                matrix:set targetknowntransitionmatrix 25  35 0
                matrix:set targetknowntransitionmatrix 26  36 0
                matrix:set targetknowntransitionmatrix 27  37 0
                matrix:set targetknowntransitionmatrix 28  38 0
                matrix:set targetknowntransitionmatrix 10  20 0
                matrix:set targetknowntransitionmatrix 2  12 0
                matrix:set targetknowntransitionmatrix 3  13 0
                matrix:set targetknowntransitionmatrix 5  15 0
                matrix:set targetknowntransitionmatrix 6  16 0
                matrix:set targetknowntransitionmatrix 7  17 0
                matrix:set targetknowntransitionmatrix 8  18 0
                matrix:set targetknowntransitionmatrix 60  50 0
                matrix:set targetknowntransitionmatrix 61  51 0
                matrix:set targetknowntransitionmatrix 68  58 0
                matrix:set targetknowntransitionmatrix 69  59 0
                matrix:set targetknowntransitionmatrix 50  40 0
                matrix:set targetknowntransitionmatrix 51  41 0
                matrix:set targetknowntransitionmatrix 53  43 0
                matrix:set targetknowntransitionmatrix 55  45 0
                matrix:set targetknowntransitionmatrix 56  46 0
                matrix:set targetknowntransitionmatrix 57  47 0
                matrix:set targetknowntransitionmatrix 59  49 0
                matrix:set targetknowntransitionmatrix 49  39 0
                matrix:set targetknowntransitionmatrix 32  22 0
                matrix:set targetknowntransitionmatrix 33  23 0
                matrix:set targetknowntransitionmatrix 35  25 0
                matrix:set targetknowntransitionmatrix 36  26 0
                matrix:set targetknowntransitionmatrix 37  27 0
                matrix:set targetknowntransitionmatrix 38  28 0
                matrix:set targetknowntransitionmatrix 20  10 0
                matrix:set targetknowntransitionmatrix 12  2 0
                matrix:set targetknowntransitionmatrix 13  3 0
                matrix:set targetknowntransitionmatrix 15  5 0
                matrix:set targetknowntransitionmatrix 16  6 0
                matrix:set targetknowntransitionmatrix 17  7 0
                matrix:set targetknowntransitionmatrix 18  8 0
                ]
              ]
          ]
        ]

         ;;resize rows to 100%
         set i 0
         while [i < gridsize]
           [
            set j 0
            set rowsum 0
            while [j < gridsize]
              [
                set rowsum (rowsum + matrix:get targetknowntransitionmatrix i j)
                set j j + 1
              ]
            matrix:set-row targetknowntransitionmatrix i (map [ ?1 -> ?1 * 1 / rowsum ] (matrix:get-row targetknowntransitionmatrix i))
            set i i + 1
          ]

      ;;reset variables for the next data point
      set targetseenat 0
      set targetmovedto 0
    ]

end

to move-searchers
  ask searchers [

    ;;if baysian search
    if searcherstrat = "baysian" or searcherstrat = "myidea - gangster1" or searcherstrat = "myidea - gangster2" or searcherstrat = "myidea - fugitive2"
     [
       ;;set up a empty prob matrix
       set probdensitymatrix matrix:make-constant 100 100 0

       ;;initialize counter to 0
       set k 0
       while [k <= 99]
          [
            ;;fill probablity matrix with probablities
            matrix:set-row probdensitymatrix k matrix:get-column probdensity 0
            set k k + 1

           ]

       ;;set searcher transition matrix to current probablity matrix
       set searchertransitionmatrix matrix:times-element-wise probdensitymatrix associationmatrix
       ]

    ;;get currentcell from patch
    ask patch-here [ set currentcell cellnumber]

    ;; get current x and y
    set currentx xcor
    set currenty ycor

    ;;get neighboring cell probablities
    ;;note expanding probablites to 100
    ;show "time"
    ;show time
    ifelse (currentcell - gridlength - 1) >= 0 and (currentcell - gridlength - 1 + 1) mod 10 != 0
      [set cell1 (matrix:get searchertransitionmatrix (currentcell) (currentcell - gridlength - 1)) * 100]
      [set cell1 0]
    ifelse (currentcell - gridlength) >= 0
      [set cell2 (matrix:get searchertransitionmatrix (currentcell) (currentcell - gridlength)) * 100]
      [set cell2 0]
    ifelse (currentcell - gridlength + 1) >= 0 and (currentcell - gridlength + 1) mod 10 != 0
      [set cell3 (matrix:get searchertransitionmatrix (currentcell) (currentcell - gridlength + 1)) * 100]
      [set cell3 0]
    ifelse (currentcell - 1) >= 0  and (currentcell - 1 + 1) mod 10 != 0
      [set cell4 (matrix:get searchertransitionmatrix (currentcell) (currentcell - 1)) * 100]
      [set cell4 0]
    ifelse (currentcell) >= 0
      [set cell5 (matrix:get searchertransitionmatrix (currentcell) (currentcell)) * 100]
      [set cell5 0]
    ifelse (currentcell + 1)  < gridsize and (currentcell + 1) mod 10 != 0
      [set cell6 (matrix:get searchertransitionmatrix (currentcell) (currentcell + 1)) * 100]
      [set cell6 0]
    ifelse (currentcell + gridlength - 1) < gridsize and (currentcell + gridlength - 1 + 1) mod 10 != 0
      [set cell7 (matrix:get searchertransitionmatrix (currentcell) (currentcell + gridlength - 1)) * 100]
      [set cell7 0]
    ifelse (currentcell + gridlength)  < gridsize
      [set cell8 (matrix:get searchertransitionmatrix (currentcell) (currentcell + gridlength)) * 100]
      [set cell8 0]
    ifelse (currentcell + gridlength + 1)  < gridsize and (currentcell + gridlength + 1) mod 10 != 0
      [set cell9 (matrix:get searchertransitionmatrix (currentcell) (currentcell + gridlength + 1)) * 100]
      [set cell9 0]

    ;;if we are using a baysian, myidea, or mowing grow
    ifelse searcherstrat = "baysian" OR searcherstrat = "mowing" or searcherstrat = "myidea - gangster1" or searcherstrat = "myidea - gangster2" or searcherstrat = "myidea - fugitive2"
       [
         ;;set heading to 0
         set heading 90

         ;;find max cell probablity
         set cellmax max (list cell1 cell2 cell3 cell4 cell5 cell6 cell7 cell8 cell9)

         ;;find what cell has the max probablity then move there
         ifelse cellmax = cell1 and cell1taken = 0
           [left 225 forward 1
             ifelse any? other searchers-here
             [ set cell1taken 1 setxy currentx currenty move-searchers]
             [move-to patch-here]
             ]
           [ifelse cellmax = cell2 and cell2taken = 0
             [left 270 forward 1
               ifelse any? other searchers-here
               [ set cell2taken 1 setxy currentx currenty move-searchers]
               [move-to patch-here]
               ]
             [ifelse cellmax = cell3 and cell3taken = 0
               [left 315 forward 1
                 ifelse any? other searchers-here
                 [ set cell3taken 1 setxy currentx currenty move-searchers]
                 [move-to patch-here]
                 ]
               [ifelse cellmax = cell4 and cell4taken = 0
                 [left 180 forward 1
                  ifelse any? other searchers-here
                  [ set cell4taken 1 setxy currentx currenty move-searchers]
                  [move-to patch-here]
                  ]
                 [ifelse cellmax = cell5  and cell5taken = 0
                   [left 0 forward 0
                     ifelse any? other searchers-here
                     [ set cell5taken 1 setxy currentx currenty move-searchers]
                     [move-to patch-here]
                     ]
                   [ifelse cellmax = cell6 and cell6taken = 0
                     [left 0 forward 1
                       ifelse any? other searchers-here
                       [ set cell6taken 1 setxy currentx currenty move-searchers]
                       [move-to patch-here]
                       ]
                     [ifelse cellmax = cell7 and cell7taken = 0
                       [left 135 forward 1
                         ifelse any? other searchers-here
                         [ set cell7taken 1 setxy currentx currenty move-searchers]
                         [move-to patch-here]
                         ]
                       [ifelse cellmax = cell8 and cell8taken = 0
                         [left 90 forward 1
                           ifelse any? other searchers-here
                           [ set cell8taken 1 setxy currentx currenty move-searchers]
                           [move-to patch-here]
                           ]
                         [ifelse cellmax = cell9 and cell9taken = 0
                           [left 45 forward 1
                             ifelse any? other searchers-here
                             [ set cell9taken 1 setxy currentx currenty move-searchers]
                             [move-to patch-here]
                             ]
                           [setxy currentx currenty move-to patch-here ]
                         ]
                        ]
                       ]
                     ]
                   ]
                 ]
               ]
             ]

         ]
       [
          ;;find cell summations to find random picking boundaries
          set sumcell1 cell1
          set sumcell2 sumcell1 + cell2
          set sumcell3 sumcell2 + cell3
          set sumcell4 sumcell3 + cell4
          set sumcell5 sumcell4 + cell5
          set sumcell6 sumcell5 + cell6
          set sumcell7 sumcell6 + cell7
          set sumcell8 sumcell7 + cell8
          set sumcell9 sumcell8 + cell9

          ;;get a random number based on total sum
          set randomcell random sumcell9

          ;;set heading to 0
          set heading 90

          ;;find where the random number lands within the probablity boundaries
          ifelse randomcell >= 0 and randomcell <= sumcell1
           [left 225 forward 1 ]
           [ifelse randomcell > sumcell1 and randomcell <= sumcell2
             [left 270 forward 1 ]
             [ifelse randomcell > sumcell2 and randomcell <= sumcell3
               [left 315 forward 1 ]
               [ifelse randomcell > sumcell3 and randomcell <= sumcell4
                 [left 180 forward 1 ]
                 [ifelse randomcell > sumcell4 and randomcell <= sumcell5
                   [left 0 forward 0 ]
                   [ifelse randomcell > sumcell5 and randomcell <= sumcell6
                     [left 0 forward 1 ]
                     [ifelse randomcell > sumcell6 and randomcell <= sumcell7
                       [left 135 forward 1 ]
                       [ifelse randomcell > sumcell7 and randomcell <= sumcell8
                         [left 90 forward 1 ]
                         [if randomcell > sumcell8 and randomcell <= sumcell9
                           [left 45 forward 1 ]
                           ]
                         ]
                       ]
                     ]
                   ]
                 ]
               ]
             ]

          ;; move to center of patch
          move-to patch-here

        ]
     ]


end

to move-targets
  ask targets [
    ;;ask if caught
    ;;if not caught move target according to transition matrix
    ifelse caught = 0
    [

    ;;get currentcell from patch
    ask patch-here [ set currentcell cellnumber]

    ;;get neighboring cell probablities
    ;;note expanding probablites to 100
    ifelse (currentcell - gridlength - 1) > 0 and (currentcell - gridlength - 1 + 1) mod 10 != 0
      [set cell1 (matrix:get targettransitionmatrix (currentcell) (currentcell - gridlength - 1)) * 100]
      [set cell1 0]
    ifelse (currentcell - gridlength) > 0
      [set cell2 (matrix:get targettransitionmatrix (currentcell) (currentcell - gridlength)) * 100]
      [set cell2 0]
    ifelse (currentcell - gridlength + 1) > 0 and (currentcell - gridlength + 1) mod 10 != 0
      [set cell3 (matrix:get targettransitionmatrix (currentcell) (currentcell - gridlength + 1)) * 100]
      [set cell3 0]
    ifelse (currentcell - 1) > 0  and (currentcell - 1 + 1) mod 10 != 0
      [set cell4 (matrix:get targettransitionmatrix (currentcell) (currentcell - 1)) * 100]
      [set cell4 0]
    ifelse (currentcell) > 0
      [set cell5 (matrix:get targettransitionmatrix (currentcell) (currentcell)) * 100]
      [set cell5 0]
    ifelse (currentcell + 1)  < gridsize and (currentcell + 1) mod 10 != 0
      [set cell6 (matrix:get targettransitionmatrix (currentcell) (currentcell + 1)) * 100]
      [set cell6 0]
    ifelse (currentcell + gridlength - 1) < gridsize and (currentcell + gridlength - 1 + 1) mod 10 != 0
      [set cell7 (matrix:get targettransitionmatrix (currentcell) (currentcell + gridlength - 1)) * 100]
      [set cell7 0]
    ifelse (currentcell + gridlength)  < gridsize
      [set cell8 (matrix:get targettransitionmatrix (currentcell) (currentcell + gridlength)) * 100]
      [set cell8 0]
    ifelse (currentcell + gridlength + 1)  < gridsize and (currentcell + gridlength + 1) mod 10 != 0
      [set cell9 (matrix:get targettransitionmatrix (currentcell) (currentcell + gridlength + 1)) * 100]
      [set cell9 0]

    ;;find cell summations to find random picking boundaries
    set sumcell1 cell1
    set sumcell2 sumcell1 + cell2
    set sumcell3 sumcell2 + cell3
    set sumcell4 sumcell3 + cell4
    set sumcell5 sumcell4 + cell5
    set sumcell6 sumcell5 + cell6
    set sumcell7 sumcell6 + cell7
    set sumcell8 sumcell7 + cell8
    set sumcell9 sumcell8 + cell9
    set randomcell random sumcell9

    ;;set heading to 0
    set heading 90

    ;;find where the random number lands within the probablity boundaries
    ifelse randomcell >= 0 and randomcell <= sumcell1
        [left 225 forward 1 ]
        [ifelse randomcell > sumcell1 and randomcell <= sumcell2
          [left 270 forward 1 ]
          [ifelse randomcell > sumcell2 and randomcell <= sumcell3
            [left 315 forward 1 ]
            [ifelse randomcell > sumcell3 and randomcell <= sumcell4
              [left 180 forward 1 ]
              [ifelse randomcell > sumcell4 and randomcell <= sumcell5
                [left 0 forward 0 ]
                [ifelse randomcell > sumcell5 and randomcell <= sumcell6
                  [left 0 forward 1 ]
                  [ifelse randomcell > sumcell6 and randomcell <= sumcell7
                    [left 135 forward 1 ]
                    [ifelse randomcell > sumcell7 and randomcell <= sumcell8
                      [left 90 forward 1 ]
                      [if randomcell > sumcell8 and randomcell <= sumcell9
                        [left 45 forward 1 ]
                          ]
                         ]
                       ]
                     ]
                   ]
                 ]
               ]
             ]

        ;; move to center of patch
        move-to patch-here

        ;; if just seen show next move
        if justseen = 1
          [

          ;;find cell that the target moved to
          ask patch-here [ set currentcell cellnumber]

          ;;report that cell
          show "target just moved to patch"
          show currentcell
          set targetmovedto currentcell

          ;;update the searchers ideal transition matrix according to new data
          if searcherstrat = "myidea - gangster1" or searcherstrat = "myidea - gangster2" or searcherstrat = "myidea - fugitive2"
          [update-searcher-idea-transitionmatrix]

          ;;set justseen to 0
          set justseen 0
          ]

      ]
    ;;if caught change color to red and dont move
    [set color red ]


  ]
end

;; move sensors
to move-sensors

  ;; if sensors are allowed to move
  if sensorsmove [

     ;; make sensors move randomly
     ask sensors [

       ;;change heading
       right random 360

       ;;move one unit
       forward 1
       ]
  ]
end

;; see if a target has been caught
to target-caught
  ;;if searchers are allowed to catch targets
  ifelse TargetsCatch

  ;; if it is allowed to catch targets
  [ ifelse exponentialdetection

     ;; if useing exponential detection
     [ask targets with [(1 - e ^ (-1 * detectionrate * (count searchers-here))) * (count searchers-here) * 100 > random 100]
       [
         set caught 1

         ;;set the flag for just seen
         set justseen 1

         ;;find the cell that the target was seen
         ask patch-here [ set currentcell cellnumber]

         ;;print where you seen the target
         show "target seen at patch"
         show currentcell

         ;;report the cell number
         set targetseenat currentcell
         ]
       ]

     ;; if using deterministic detection
     [ask targets with [count searchers-here > 0]
       [
         set caught 1

         ;;set the flag for just seen
         set justseen 1

         ;;find the cell that the target was seen
         ask patch-here [ set currentcell cellnumber]

         ;;print where you seen the target
         show "target seen at patch"
         show currentcell

         ;;report the cell number
         set targetseenat currentcell

         ]
       ] ;; if in same
  ]

  ;;otherwise treat as if the searcher is a sensor
  [ ifelse exponentialdetection

     ;; if using exponential detection
     [ask targets with [(1 - e ^ (-1 * detectionrate * (count searchers-here))) * (count searchers-here) * 100 > random 100]
       [
         set seen 1
         set color grey

         ;;set the flag for just seen
         set justseen 1

         ;;find the cell that the target was seen
         ask patch-here [ set currentcell cellnumber]

         ;;print where you seen the target
         show "target seen at patch"
         show currentcell

         ;;report the cell number
         set targetseenat currentcell
         ]
       ]

     ;; if using deterministic detection
     [ask targets with [count searchers-here > 0]
       [
         set seen 1
         set color grey
         set justseen 1

         ;;print where you seen the target
         ask patch-here [ set currentcell cellnumber]
         show "target seen at patch"
         show currentcell
         ]
       ] ;; if in same cell set to seen
  ]
end

;; if a target has been seen by a sensor
to target-seen
 ;; if we are using exponential detection
 ifelse exponentialdetection
     [
       ;; ask targets if there in the same cell as a sensor and the probablity is not in their favor
       ask targets with [(1 - e ^ (-1 * detectionrate * (count sensors-here))) * (count sensors-here) * 100 > random 100]
       [
         ;; if seen set target variable seen to 1 and set color to grey
         set seen 1
         set color grey

         ;;set the flag for just seen
         set justseen 1

         ;;find the cell that the target was seen
         ask patch-here [ set currentcell cellnumber]

         ;;print where you seen the target
         show "target seen at patch"
         show currentcell

         ;;report the cell number
         set targetseenat currentcell

         ;;if we are reporting targets update the probability density
         if SensorsReportTarget and caught = 0
         [
           ;;get currentcell from patch
           ask patch-here [ set currentcell cellnumber]

           ;;update prob density 100% there is a target here
           matrix:set probdensity currentcell 0 1
           ]
         ]
       ]
     [
       ;; otherwise use deterministic detection and the target is seen
       ask targets with [count sensors-here > 0]
       [
         ;;if seen set target vairiable seen to 1 and set color to grey
         set seen 1
         set color grey

         ;;set the flag for just seen
         set justseen 1

         ;;find the cell that the target was seen
         ask patch-here [ set currentcell cellnumber]

         ;;print where you seen the target
         show "target seen at patch"
         show currentcell

         ;;report the cell number
         set targetseenat currentcell

         ;;if we are reporting targets update the probablity density
         if SensorsReportTarget and caught = 0
         [
           ;;get currentcell from patch
           ask patch-here [ set currentcell cellnumber]

           ;;update prob density 100% there is a target here
           matrix:set probdensity currentcell 0 1
           ]
         ]
       ]
end

@#$#@#$#@
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22
627
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TEXTBOX
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TEXTBOX
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TEXTBOX
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Stats over time
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SWITCH
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showcellproblabel
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Dont use random or mowing with gangster3, not realistic
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15.0
1

@#$#@#$#@
## WHAT IS IT?

 This is a agent based model implementation of the basics of search theory to explore the social problem of finding fugitives, wanted persons, and missing persons. This model represents the one-sided moving target optimal path problem with exponential detection and sensors. This model uses several components from heuristic algorithms used in search theory published by Eagle (4) and his associates (3). But according to research (3) the heuristic approach has performance issues. Therefore an agent based approach may find a "good enough" optimal solution faster than purpose built heuristic algorithms. Koopman (6) mentioned in his work that in search theory that our goal should not be to find the perfect solution but one that is easy and fast to compute, easy to implement, and is good enough.

## HOW IT WORKS

The model is based on transition matrixes and a few simple rules. This was developed from the heuristic algorithm reviewed and developed by Eagle and his associates (3), and various other papers (2, 3, 4, 7, 11). The targets movement is bases on various transition functions. The transition matrix gives us the probability that a target in cell will stay there or move to a neighboring cell. In this model a neighborhood is the Moore neighborhood, i.e. a cell and the 8 cells around it. A sensor can only be stationary or move randomly. A searcher also has transition matrix this can be random, a mowing pattern, or various other search strategies. The Bayesian strategy is the most complicated. It uses an association matrix as its transition matrix, a known (idea of) target transition matrix, and a probability density to decide what neighboring cell has the highest probability of the target being there. Once it finds that it will move to the cell with the highest probability. When a target is in the same cell as searchers or sensors we have two detection functions. Definite detection is a simple 0 or 1, if a target is in the same cell as a searcher or sensor it will be seen and caught. Exponential detection models the dynamic of visual range and effectiveness of multiple searchers. The equation is (1 - e ^ (-1 * Dr * x)) * x, where x is the number of searchers and/or sensors in the cell and Dr is the detection rate. This equation plus Bayes Theorem, P(A|B) = P(B|A)P(A)/P(B), and a position vector of sensors and searchers is used to update the probability density which is a row. This row plus the association matrix is used to create the transition matrix for the Bayes search strategy. This model also reports on several important statistics such as probability of detection, confidence and etc. 

## HOW TO USE IT

  Under "searcher choices" are the variables that the searcher has control over such as; number of searchers, number of sensors, known (idea of) number of targets, known (idea of) target movement, total search time, and search strategy. Under "model settings" you will have settings of the model such as confidence, show paths, show cell numbers, and show cell probability. Under "target choices" you get to choose the true number of targets and the true target movement. Under "current stats" you will see the important statistics for the current time period. Finally under "stats over time" you will see statistics over all time periods.

## THINGS TO NOTICE

1) When you don’t change any variables the optimal paths are nearly identical between runs
2) When using sensors the searchers tend to avoid getting near a sensor
3) When using a gangster transition matrix why is the optimal path not intuitive?

## THINGS TO TRY

1) Use different numbers of sensors and see how the optimal path changes
2) Use different numbers of searchers and see how they team up to find targets
3) Vary the detection rate and see how fast searchers can clear the domain
4) Vary between exponential and definite detection with multiple searchers and notice how more searchers in a cell do not guarantee a detection 
5) Try moving sensors and see how the optimal paths change

## EXTENDING THE MODEL

1) Add separate detection rates for searchers and sensors, what does this do?
2) Add a method so that when a target is seen by a sensor the closest searcher goes to the spot the target was seen, does this help?


## NETLOGO FEATURES

This model extensively uses the matrix functions in Netlogo

## RELATED MODELS

(Models in the NetLogo Models Library and elsewhere which are of related interest)

## CREDITS AND REFERENCES

The following sources were used to create it.

1.	“NetLogo 5.2.1 User Manual.” NetLogo 5.2.1 User Manual. Web. 30 Nov. 2015. 
2.	J. F. J. Vermeulen, and M. van den Brink. “The Search for an Alerted Moving Target”. The Journal of the Operational Research Society 56.5 (2005): 514–525. Web… 
3.	Dell, R. F., Eagle, J. N., Alves Martins, G. H. and Santos, A. G. (1996), Using multiple searchers in constrained-path, moving-target search problems. Naval Research Logistics, 43: 463–480. doi: 10.1002/(SICI)1520-6750(199606)43:4<463::AID-NAV1>3.0.CO;2-5 
4.	Eagle, James N.. “The Optimal Search for a Moving Target When the Search Path Is Constrained”. Operations Research 32.5 (1984): 1107–1115. Web… 
5.	Sato, H. and Royset, J. O. (2010), Path optimization for the resource-constrained searcher. Naval Research Logistics, 57: 422–440. doi: 10.1002/nav.20411 
6.	Nunn, Laura. AN INTRODUCTION TO THE LITERATURE OF SEARCH THEORY. CNA, 1981. Print 
7.	Hong, Sung-pil. “Optimal Search-relocation Trade-off in Markovian-target Searching.” Computers & Operations Research : And Their Applications to Problems of World Concern ; an International Journal 36.6 (2009). 
8.	Hohzaki, R. (2009), A cooperative game in search theory. Naval Research Logistics, 56: 264–278. doi: 10.1002/nav.20338 
9.	Grundel, D.A., “Searching for a moving target: optimal path planning,” in Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE , vol., no., pp.867-872, 19-22 March 2005
doi: 10.1109/ICNSC.2005.1461306 
10.	Steve Alpern, Shmuel Gal, (2002) Searching for an Agent Who May OR May Not Want to be Found. Operations Research 50(2):311-323. http://dx.doi.org/10.1287/opre.50.2.311.433 
11.	Hong, Sung-Pil. “A Pseudo-polynomial Heuristic for Path-constrained Discrete-time Markovian-target Search.” European Journal of Operational Research : EJOR 193.2 (2009). 
12.	"Bayesian Search Theory." Wikipedia. Wikimedia Foundation, n.d. Web. 05 Dec. 2015.
@#$#@#$#@
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@#$#@#$#@
NetLogo 6.1.0
@#$#@#$#@
@#$#@#$#@
@#$#@#$#@
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