By M. Clarke
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Extra resources for Advances in Computer Chess
Condon and K. Thompson REFERENCES Babaoglu, 0. (1977) Hardware Implementation of the Legal Move Generation and Relative Ordering for the Game of Chess. Master1s Thesis, University of California, Berkeley. E. and Moore, R. (1975) An analysis of alpha-beta pruning. Arti- ficial Intelligence, 6, 293-326. , Holloway, J. and Greenblatt, R. (1979) CHEOPS: A chessoriented processing system, in Machine Intelligence, Vol. 9 (Eds. , Michie, D. ). Horwood-Wiley, Chichester, UK. COMPUTER CHESS STRENGTH K. " This paper describes an experiment designed to address this question.
Moneta), North Holland. THE BRATKO-KOPEC EXPERIMENT: A COMPARISON OF HUMAN AND COMPUTER PERFORMANCE IN CHESS D. Kopec and I. Bratko* Machine Intelligence Research Unit, University of Edinburgh, UK ABSTRACT Recently the best computer programs have demonstrated the ability to hold their own against grandmasters in blitz play and in tournament play have been able to obtain ratings just below the master level. The foundation of their success is the ability to exhaustively search 6 to 7 or more ply which makes them superior in tactical positions to humans of the same rating but not necessarily in positional play.
Knights and bishops are penalized for being in their original square. Hash Code The incremental evaluator maintains a 48-bit hash code of the current position. This is used by the transposition table described below. For every piece on every square (16x64=1024) a ROM generates a different constant. This constant is XORed into the incremental hash accumulator on every ADD or SUBTRACT. All of the above incremental evaluations are summed and the total is made available to the micro-code as a "fast evaluation".