Related Sites

• If you want to see more than a mere list of references, Jay Scott has compiled an excellent guide through the internet resources on Machine Learning in Games. You may also be interest in my article Machine Learning in Games: A Survey which appeared in the book Machines That Learn To Play Games that I co-edited with Miroslav Kubat.

  If you are interested in particular games, you might want to consult the following:

  Chess:

  you may want to look at my survey Machine Learning in Computer Chess: The Next Generation which has appeared in the September 1996 issue of the ICGA Journal. There's also a report on Knowledge Discovery in Chess Databases.

  Go:

  you might want to check out this Computer Go Bibliography or Martin Müller's excellent survey which appeared in the Artificial Intelligence Journal in January 2002.

  Othello:

  there is an Annotated bibliography of Othello programming, unfortunately without pointers to on-line papers.

  Game Theory:

  you might want to try Al Roth's game theory and experimental economics page, in particular his Bibliography on Learning in Games.

• If you are rather interested in classical alpha-beta based game playing programs you might want to have a look at Claude G. Diderich's Bibliography on Minimax Trees (which is unfortunately no longer updated).

• If you want to contact the author of a certain paper you may want to try one of the following
  • Jay Scott's list of people at his Machine Learning in Games page
  • David Aha's list of ML and CBR people
  • the Computer Game Research Groups and People page