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ISBN: 978-0-7695-3507-4
pp: 672-674
The game playing is an import domain of heuristic search, and its procedure is represented by a special and/or tree. Alpha-beta pruning is always used for problem solving by searching the game-playing-tree. In this paper, the plan which child nodes are inserted into game-playing-tree from large value of estimation function to small one when the node of no receiving fixed ply depth is expand is proposed based on alpha-beta pruning. It improves effect of search
game playing, alpha-beta pruning, heuristic search
Zhang-Congpin, Cui-Jinling, "Improved Alpha-Beta Pruning of Heuristic Search in Game-Playing Tree", CSIE, 2009, Computer Science and Information Engineering, World Congress on, Computer Science and Information Engineering, World Congress on 2009, pp. 672-674, doi:10.1109/CSIE.2009.527
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