Scalable Search in Computer Chess: Algorithmic Enhancements and Experiments at High Search Depths

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 depth...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Heinz, Ernst A. (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Wiesbaden Vieweg+Teubner Verlag 2000
Ausgabe:1st ed. 2000
Schriftenreihe:Computational Intelligence
Schlagworte:
Online-Zugang:UBY01
URL des Eerstveröffentlichers
Zusammenfassung: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
Beschreibung:1 Online-Ressource (XVIII, 270 p. 3 illus)
ISBN:9783322901781
DOI:10.1007/978-3-322-90178-1

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