神经网络在解决双假人桥牌问题上与人类高手竞争

2009 IEEE Symposium on Computational Intelligence and Games Pub Date : 2009-09-07 DOI:10.1109/CIG.2009.5286484

J. Mańdziuk, K. Mossakowski

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引用次数: 16

摘要

人工神经网络，只在样本桥牌上训练，没有任何人类知识和游戏规则的呈现，应用于解决双假人桥牌问题(DDBP)。这个问题的基本形式是，估计一对桥牌玩家的牌数。

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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Neural networks compete with expert human players in solving the Double Dummy Bridge Problem

Artificial neural networks, trained only on sample bridge deals, without presentation of any human knowledge as well as the rules of the game, are applied to solving the Double Dummy Bridge Problem (DDBP). The problem, in its basic form, consist in estimation of the number of tricks to be taken by one pair of bridge players.

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2009 IEEE Symposium on Computational Intelligence and Games

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