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Beautiful Mates: Applying Principles of Beauty to Computer Chess Heuristics
 
 
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Beautiful Mates: Applying Principles of Beauty to Computer Chess Heuristics [Englisch] [Taschenbuch]

Ben P. Walls

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Abstract
A synopsis of eminent computer chess programs reveal that they are designed around a 'brute force' approach. An argument is made that by continuing the 'brute force' search approach, computer chess development is moving away from human evaluation methods. Research is done into studies of evaluation methods, and a discovery is made that humans use a form of intuition, called their 'sense of beauty', to choose the best chess move. A paper by Margulies is cited which formulates principles of beauty which apply to chess. Three versions of a chess program are developed, using no heuristics, standard chess heuristics, and beauty heuristics formulated from Margulies principles. The performance of the three versions of the program are compared using chess puzzles, and rated for how quickly they find the solution, and how few nodes they evaluate. Graphs are produced from the results of these tests, showing that beauty heuristics are, on average, 15% faster at finding the solution, and evaluate 10% fewer nodes.

An improvement is implemented in all versions of the program which biases the search towards better moves, resulting in the beauty heuristics success rising to an average of 25% faster to the solution, and evaluating 33% fewer nodes, than the other heuristics. It is concluded that the beauty heuristics are closer to the way that humans evaluate chess positions. END

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Einleitungssatz
This paper concentrates on formulating heuristics for playing chess which 'must be broad enough to encompass the best moves, yet selective enough to avoid wasting time on the absurd lines of play' [8 p. 158] These 'broad yet selective' heuristics are evidenced in human play, because studies show that the chess master subjects only a few moves to detailed analysis [7]. Lesen Sie die erste Seite
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6 von 6 Kunden fanden die folgende Rezension hilfreich
Very unimportant research. 7. Juli 1999
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Format:Taschenbuch|Von Amazon bestätigter Kauf
This dissertation investigations problems of the mate-in-two variety, and shows that a few heuristics that correspond to the human concept of "beauty" tend to reduce solution times (10% to 33%). My disappointment arises because this is not a difficult problem; there isn't a chess program on the marketplace that can't solve mate-in-N problems in the blink of an eye. Furthermore, the advantage obtained through these heuristics is very minor; on a small sample of positions it is always possible to tune one's chess engine to obtain comparable speed-ups. My conclusion is that the author's time at the University of Sussex was not well spent.
5 von 6 Kunden fanden die folgende Rezension hilfreich
Disappointing 18. Juli 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This is a book bound version of a simple article comparing simple chess heuristics and simple + "beauty" heuristics as an attempt to emulate human chess thinking, where the "beauty" heuristics follow now outdated ideas in human 'intuition". The resulting programs are subjected to relatively simple mate in 2, 3 and the odd mate in 4 and 5 chess problems. The resulting time and nodes analysed between the two systems are probably statistically insignificant as only 24 problems are studied. An interesting read, but by no means revolutionary.
3 von 5 Kunden fanden die folgende Rezension hilfreich
Original and Interesting - when is there a follow up?? 16. September 1999
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format:Taschenbuch
This is an orginal book, following an interesting proposal to get Computer chess games to 'think' more like human players. It is clear the author values this approach more than current 'brute force' search, and I must admit, I am swayed by his arguments (e.g. that the Deep Blue v Kasparov match did nothing to advance computer chess) - although I could have done with more results to convince me. I think the reader from Concord, MA missed the point of the book - the author never says he is proposing a 'better' (i.e. higher ELO) chess program - just one that thinks and plays more like a human (from an AI research perspective). To conclude, if you are looking for a book about conventional (outdated?) computer chess programming then this is of little interest. However, if you are after a novel book on the quest to 'capture' what goes on in the human mind when analysing problems, and how to represent that in, for example, chess problems, then this book is a good starting point.

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