A reversi (also known as Othello) implementation for SailfishOS
This implementation features an easy way to implement different players.
Currently avaiable are:
- Human: A human player
- Tutorial: A player that tries to teach basic strategies
- 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
- 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"
Source code is avaiable here: https://github.com/Top-Ranger/harbour-reversi
The app is released under the BSD license as following:
Copyright (C) 2014,2015,2016 Marcus Soll
Copyright (C) 2013 Jolla Ltd.
All rights reserved.
You may use this program under the terms of BSD license as follows:
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
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* Neither the name of the Jolla Ltd nor the
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