Presentation 1995/5/20
Reducing algorithm and Evaluation of Search-Space by Applying Heuristics for the Game with Perfect Information
Tsuyoshi Matsumoto, Toshio Okamoto,
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Abstract(in English) The aim of this study is to construct the system which selects the best move in each situation of Othello-game. Games are typical problems using rules and factual knowledge. Search for finding a solution takes the place of playing games. But the system cannot use Exhaustive-Search in the problems such as Othello-game, because it's search method brings about Search-Explosion. So the system needs to the mechanism to select the best move in the reduced search-space by using heuristics and evaluation-functions in each situation. In this paper, we describe the algorithm (MiniMax-method and Alpha-Beta-cut) and the evalution-function which are used in this system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Game with Perfect Information / Heuristics / Evaluation-Function / MiniMax-Method / Alpha-Beta-Cut
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Conference Date 1995/5/20(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Reducing algorithm and Evaluation of Search-Space by Applying Heuristics for the Game with Perfect Information
Sub Title (in English)
Keyword(1) Game with Perfect Information
Keyword(2) Heuristics
Keyword(3) Evaluation-Function
Keyword(4) MiniMax-Method
Keyword(5) Alpha-Beta-Cut
1st Author's Name Tsuyoshi Matsumoto
1st Author's Affiliation Graduate School of Information System University of Electro-Communications()
2nd Author's Name Toshio Okamoto
2nd Author's Affiliation Graduate School of Information System University of Electro-Communications
Date 1995/5/20
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Volume (vol) vol.95
Number (no) 55
Page pp.pp.-
#Pages 8
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