This is an implementation of Hex in Java. It was originally used as a school project.
You'll need a few dependencies; these include a JDK, make, and zip. I've only tested the code on Java 6, although both the OpenJDK and the Sun one work.
Then, just run:
make jar
java -jar Hex.jar
The AI uses Monte Carlo Tree Search, which means that it plays a number of random games (equal to the chosen difficulty level) for each possible move, and chooses the one with the highest winning percentage. In general, as the number of random games played increases, the success of the AI improves.
The AI is currently rather slow, even when it plays with a search depth of one (as it currently does).
- Play the random games in parallel, which should result in a speed increase on multicore systems.
- Add a rule in the random simulation to protect bridges.
Hex is provided to you under the following license:
Copyright (c) 2012, David Pearson
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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