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Article type: Research Article
Authors: Junghanns, A.; 1
Affiliations: Edmonton, Canada
Note: [1] University of Alberta, Department of Computing Science, 615 GSB, Edmonton, AB, Canada T6G 2H1. Email: andreas@cs.ualberta.ca.
Abstract: The success of the alpha-beta algorithm in game playing has shown its value for problem solving in artificial intelligence, especially in the domain of two-person zero-sum games with perfect information. Still, there are different algorithms for game-tree search which challenge the value of the alpha-beta algorithm. This paper describes and assesses the alternatives proposed according to how they try to overcome the limitations of alpha-beta. We conclude that for computer chess no practical alternative exists, but many promising ideas have good potential to change that in the future.
DOI: 10.3233/ICG-1998-21103
Journal: ICGA Journal, vol. 21, no. 1, pp. 14-32, 1998
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