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Self-Playing-Based Opening Book Tuning

Author

Listed:
  • JUN NAGASHIMA

    (School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923-1292, Japan)

  • TSUYOSHI HASHIMOTO

    (School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923-1292, Japan)

  • HIROYUKI IIDA

    (School of Information Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923-1292, Japan;
    PRESTO, Japan Science and Technology Agency, Japan)

Abstract

This paper proposes a method to tune an opening book based on self-playing games. In this method, many self-playing games are performed from various positions that are contained in the book. The book is well tuned for the target computer program that it may lure the opponent to play into its own hands. We produced some different types of books through the self-playing based tuning to perform a tournament. The tournament results indicate a remarkable playing strength improvement compared to the program with the original book. The proposed idea was implemented in our computer shogi program TACOS, which won the latest Computer Olympiad.

Suggested Citation

  • Jun Nagashima & Tsuyoshi Hashimoto & Hiroyuki Iida, 2006. "Self-Playing-Based Opening Book Tuning," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 183-194.
    • Handle: RePEc:wsi:nmncxx:v:02:y:2006:i:02:n:s1793005706000452
    DOI: 10.1142/S1793005706000452
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