Research on connect 6 programming based on MTD(F) and Deeper-Always Transposition Table

Ruimei Zhang, Changcheng Liu, Chuandui Wang
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引用次数: 2

Abstract

Chess computer game has always been the hot research topic in the field of artificial intelligence. Connect 6 as an emerging types of chess, has some characteristics such as simple rules, complex changes and fair play. Search engine is the core part on computer game programming. This paper introduces some of the traditional search algorithm in chess computer game, and introduced emphatically a search algorithm based on the MTD(F) and Deeper-Always Transposition Table. Then take Connect 6 as an example, experiments prove its efficiency is higher than alpha-beta pruning algorithm.
基于MTD(F)和deep - always换位表的连接6规划研究
国际象棋电脑游戏一直是人工智能领域的研究热点。五线棋作为一种新兴的棋类,具有规则简单、变化复杂、比赛公平等特点。搜索引擎是电脑游戏编程的核心部分。介绍了国际象棋计算机博弈中的一些传统搜索算法,重点介绍了一种基于MTD(F)和deep - always调换表的搜索算法。然后以Connect 6为例,实验证明其效率高于α - β剪枝算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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