Integration of Data Mining with Game Theory
Yi Wang · 2006
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.