title: Searching for good strategies in adaptive minority games.
abstract: In this paper we introduce and study various adaptive minority game models in which agents try to improve their performances by modifying their strategies through genetic algorithm based crossover mechanism. One aim of this study is to find out what happens at the system as well as at the individual agent level. Adaptation is found to improve the performance of individual agents quite remarkably, to tighten the competition among the agents, and to drive the whole system towards maximum efficiency. Results from four adaptative minority games and the basic minority game are compared, and the parameter dependencies of the best performing game are discussed.
authors.affiliation: Laboratory of Computational Engineering, Helsinki University of Technology, P.O. Box 9203, FIN-02015 HUT, Finland.
authors.forename: Marko
authors.initials: M
authors.lastname: Sysi-Aho
authors.forename: Anirban
authors.initials: A
authors.lastname: Chakraborti
authors.forename: Kimmo
authors.initials: K
authors.lastname: Kaski