DocumentCode
2328649
Title
Evolving group strategies for IPD
Author
Hingston, Philip
Author_Institution
Sch. of Comput. Sci. & Security, Edith Cowan Univ., Perth, WA, Australia
fYear
2010
fDate
18-23 July 2010
Firstpage
1
Lastpage
7
Abstract
The Iterated Prisoners Dilemma (IPD) is often used to model cooperation between self-interested agents. In an earlier study, we introduced a framework using IPD to study the effects of species-level competition on the evolution of cooperative behaviour. In this paper, we extend the previous work, using co-evolutionary simulations of interactions between species of IPD-playing agents to investigate how group strategies may evolve. We find that the ability to cooperate more with agents of the same species greatly increases the ferocity of competition between species.
Keywords
competitive algorithms; evolution (biological); game theory; group theory; IPD playing agent; coevolutionary simulation; cooperative behaviour; group strategies; iterated prisoners dilemma; species level competition; Bioinformatics; Biological system modeling; Computational modeling; Evolution (biology); Games; Genomics; Organisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2010 IEEE Congress on
Conference_Location
Barcelona
Print_ISBN
978-1-4244-6909-3
Type
conf
DOI
10.1109/CEC.2010.5586197
Filename
5586197
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