Skip to content

Latest commit

 

History

History
23 lines (15 loc) · 2.3 KB

README.md

File metadata and controls

23 lines (15 loc) · 2.3 KB
Raw

Argumentation Framework

Master Degree in Computer Science, University of Bari. Case study for Artificial Intelligence course. I work on this project with my classmate (and dear friend) Giovanni Mastroscianni.

Abstract Argumentation Solving Integrity Constraints

Prolog version used: YAP 6.2.2

Project structure

  • family.dat is the dataset on which we made our experiments. The dataset represents a family tree. The file contains a predicate examples(P, N, G, R). The predicate's arguments represent rispectively all positive examples, some negative ones, the information about the gender of every person, some facts about relationships (A married B, C is the parent of D, ...).

  • /kb-construction: this folder contains the files that work con KB construction. The goal is start from a dataset.dat like family.dat and build up a data.kb file that store the information about the single dataset in a multi-head clause format, i.e.: [head_1, head_2, ..., head_n] :- body_1, body2, ..., body_m. This folder contains also a module that deal with dataset corrupution. If you are working only with positive examples you can corrupt the examples for generate new ambiguous facts and make more intresting the experiments.

  • /knowledge-base: it's where the output of the kb-construcition's process is stored.

  • /graph-construction: This folder contains files that deal with the graph construction process starting from a knowledge base. This phase is based on a set of ad-hoc constraint (stored in the /graph-construction/constraints folder), that explain what kinds of fact can coexist in the knowledge base. Based on these constraints, a set of labeled edge (attack edge or support edge) is generated, and the graph is built. Outputs of this phase (graphs) will be placed in the project folder /graph-construction/output/

  • /graph-fixing: this folder contains files and tools to extract extensions from graph using ASPARTIX tool. A set of file.tun will be produced.

  • /output : in this folder will be placed the final output of this study (a set of file.tun). You can use INTHELEX system to learn a theory from the starting dataset.