Statistical approach to chess?

Posted by Chinmay Kanchi on Stack Overflow See other posts from Stack Overflow or by Chinmay Kanchi
Published on 2010-04-26T22:50:51Z Indexed on 2010/04/26 22:53 UTC
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Filed under:

chess

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algorithm

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machine-learning

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statistics

Reading about how Google solves the translation problem got me thinking. Would it be possible to build a strong chess engine by analysing several million games and determining the best possible move based largely (completely?) on statistics? There are several such chess databases (this is one that has 4.5 million games), and one could potentially weight moves in identical (or mirrored or reflected) positions using factors such as the ratings of the players involved, how old the game is (to factor in improvements in chess theory) etc. Any reasons why this wouldn't be a feasible approach to building a chess engine?

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