Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma

Gosling, Timothy, Jin, Nanlin and Tsang, Edward (2004) Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma. Technical Report. University of Essex.

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Official URL: http://dces.essex.ac.uk/research/CSP/finance/paper...

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

Item Type: Report (Technical Report)
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 11 Aug 2014 12:03
Last Modified: 10 Aug 2015 11:32
URI: http://nrl.northumbria.ac.uk/id/eprint/17387

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