Scalable Search in Computer Chess (eBook, PDF)
Algorithmic Enhancements and Experiments at High Search Depths
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The book presents new results of computer-chess research in the areas of selective forward pruning, the efficient application of game-theoretical knowledge, and the behaviour of the search at increasing depths. It shows how to make sophisticated game-tree searchers more scalable at ever higher depths. Throughout the whole book, the high-speed and master-strength chess program "DarkThought" serves as a realistic test vehicle to conduct numerous experiments at unprecedented search depths. The extensive experimental evaluations provide convincing empirical evidence for the practical usefulness of...
The book presents new results of computer-chess research in the areas of selective forward pruning, the efficient application of game-theoretical knowledge, and the behaviour of the search at increasing depths. It shows how to make sophisticated game-tree searchers more scalable at ever higher depths. Throughout the whole book, the high-speed and master-strength chess program "DarkThought" serves as a realistic test vehicle to conduct numerous experiments at unprecedented search depths. The extensive experimental evaluations provide convincing empirical evidence for the practical usefulness of the presented techniques. Advantages: - presentation of advanced and brand-new research results in computer chess (e.g. selective pruning and other search enhancements, improved endgame databases, etc.) - numerous experiments at unprecedented search depths - extensive experimental evaluation - practical usefulness of new techniques proven within strong state-of-the-art chess program "DarkThought" - includes detailed implementation skeletons in ANSI-C - contains concise introductions into the game of chess and the basics of computer chess in general
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