Discovering the Rules in a Poker Player's Mind Based on the Association Rule Mining

Afshin Mehrabi, A. Haghighat
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Abstract

One of the weaknesses and drawbacks of a computer compared to a human being is the creativity and intelligence of a human being in encountering with different problems and his power of deduction and reasoning. Therefore computer engineers have been trying to make computers more intelligent and inferential and reasonable in encountering with different problems. Thus in this article we have tried to increase the intelligence and deduction of a computer when playing a poker game. In this article a method is proposed based on the association rule mining which enables the computer to sense thoughts in a poker player's mind and guess his hand by observing his moves. According to the evaluation and a confidence of 78.6%, the rules in a poker player's mind were proven to be guessed correctly by the computer.
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基于关联规则挖掘的扑克玩家心理规则发现
与人类相比,计算机的弱点和缺点之一是人类在遇到不同问题时的创造力和智慧,以及他的演绎和推理能力。因此,计算机工程师一直在努力使计算机在遇到各种问题时更加智能、推理和合理。因此,在本文中,我们试图在玩扑克游戏时增加计算机的智能和推理能力。本文提出了一种基于关联规则挖掘的方法,使计算机能够感知扑克玩家的思想,并通过观察他的走法来猜测他的手牌。根据评估和78.6%的置信度,扑克玩家头脑中的规则被计算机证明是正确的。
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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