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

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.