Abstract
Concerning the speed bottleneck of the gobang machine game when relying on the configuration of the stones to evaluate the game states,this paper proposed a multi-layer evaluation-function method combining identification granularity of the stones' configuration with the search depth.The experimental results have proved: the overall efficiency of coarse-grained evaluation was higher when the deep-layer searches were processing;multi-layer judging for the configuration of the stones could obviously accelerate the evaluation;if the move-generating functions were introduced into the rapid evaluation,it was more efficient to prune certain branches from game-tree in advance;gobang game tree searches also benefited if floating the values of non-critical stone's configuration to balance the search depth.Therefore,dynamic evaluation of evaluation-function is more reasonable.
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