Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma

Timothy Gosling, Nanlin Jin, Edward Tsang

Research output: Book/ReportCommissioned report

Abstract

Axelrod’s originally experiments for evolving IPD player strategies involved the use of a basic GA. In this paper we examine how well a simple GA performs against the more recent Population Based Incremental Learning system under similar conditions. We find that while PBIL performs well, GA in general does slightly better although more experiments should be conducted
Original languageEnglish
PublisherUniversity of Essex
Publication statusPublished - Mar 2004

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