Evolution of the weight in Mahjong non-player characters

Evolution of the weight in Mahjong non-player characters
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麻将非玩家角色体重的演变

DOI:
10.1109/nabic.2013.6617853
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发表时间:
2013
期刊:
Proc. 2013 World Congress on Nature and Biologically Inspired Computing (NaBIC)
影响因子:
--
通讯作者:
Hisashi Handa
Hisashi Handa
中科院分区:
--
文献类型:
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作者:
山崎 優作;鈴木 拓也;田向 権;関根優年;川畑宣之,徳永憲洋,古川徹生;Hisashi Handa

文献摘要

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麻将游戏被归类为不完全信息游戏。扑克也是这类不完全信息博弈中的一种著名游戏。与扑克相比,麻将有复杂的规则。本文提出了一种用于麻将游戏的单功能代理框架。作为agent框架的示例,介绍了三种agent:谨慎型agent、七对型agent和隐手型agent。实验结果表明,进化计算能够提高智能体的性能。
The Mahjong game is classified as a imperfect information game. The Poker is also a famous game of such the imperfect information games. In comparison with the Poker, the Mahjong has complicated rules. In this paper, a mono-functional agent framework for the Mahjong game is proposed. As examples of the agent framework, three agents are introduced: the cautious agents, the Seven-Pairs agents, and the concealed-hand agents. The experimental results on the evolution of such agents show the evolutionary computation is able to improve the performance of the agents.