A reversi (also known as Othello) implementation for desktop operating systems. Currently tested on Linux and Windows.

This is a port of the SailfishOS-App which can be found at https://github.com/Top-Ranger/harbour-reversi

This implementation features an easy way to implement different players. Currently avaiable are:

• Human: A human player
• Random AI: A simple AI selecting a random tile
• Greedy AI: Tries to get as many points as possible
• Tree AI: Builds a tree and tries to get the best possible result. Sometimes gets greedy.
• Balanced AI: An AI which tries to combine the more clever aspect of the "Tree AI" with the power of the "Greedy AI"
• Static Rule AI: An AI which determines the best turn by applying different static rules
• Tutorial: A player that tries to teach basic strategies
• Adaptive Tree AI: A variant of the Tree AI which tries to guess your next moves
• Control AI: An AI that tries to control the board by conquering key positions
• Assembly AI: An AI which uses several small entities to determine the best play
• Neural Network AI: An AI using a neural network
• Monte Carlo AI: An AI based on the idea of the "Monte Carlo method"

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HOWTO implement an own AI/Player:

1. Inhert Player
2. Overwrite doTurn(Gameboard board), isHuman(), humanInput(int x, int y)
3. Add new AI to Gamemaster::initialise(QString player1, QString player2, int bonus)
4. Add new AI to UI