Abstract
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.
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