DocumentCode
1874071
Title
Iterated Prisoner´s Dilemma for species
Author
Hingston, Philip
Author_Institution
Comput. Sci. with the Sch. of Comput. & Security Sci., Edith Cowan Univ., WA, Australia
fYear
2009
fDate
7-10 Sept. 2009
Firstpage
17
Lastpage
24
Abstract
The Iterated Prisoner´s Dilemma (IPD) is widely used to study the evolution of cooperation between self-interested agents. Existing work asks how genes that code for cooperation arise and spread through a single-species population of IPD playing agents. In this paper, we focus on competition between different species of agents. Making this distinction allows us to separate and examine macroevolutionary phenomena. We illustrate with some species-level simulation experiments with agents that use well-known strategies, and with species of agents that use team strategies.
Keywords
game theory; IPD playing agents; iterated prisoner dilemma; macroevolutionary phenomena; self-interested agents; single-species population; species-level simulation experiment; team strategies; Biological system modeling; Evolution (biology); Floods; Game theory; Gold; History; Humans; Organisms; Psychology; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on
Conference_Location
Milano
Print_ISBN
978-1-4244-4814-2
Electronic_ISBN
978-1-4244-4815-9
Type
conf
DOI
10.1109/CIG.2009.5286498
Filename
5286498
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