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INTEGRATION OF DATA MINING WITH GAME THEORY

机译:数据挖掘与游戏理论的整合

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Game Theory studies strategic situations where agents select different actions to maximize their returns. Game Theory has recently drawn attention from computer scientists because of its use in artificial intelligence and cybernetics. This paper presents a frame work of integrating Data Mining with Game Theory. Due to the reason of huge amount of data, it is hard for Game Theory alone to perform the modeling analysis. Data mining assists Game Theory to deal with the large amount of data and finds hidden rules to improve game analysis.
机译:博弈论研究的是代理商选择不同行动以最大化其回报的战略情况。博弈论由于其在人工智能和控制论中的应用,最近引起了计算机科学家的关注。本文提出了将数据挖掘与博弈论相集成的框架。由于海量数据的原因,仅博弈论很难进行建模分析。数据挖掘可帮助博弈论处理大量数据,并找到隐藏的规则以改善博弈分析。

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