DocumentCode :
2819976
Title :
Strategy evolution in a spatial IPD game where each agent is not allowed to play against itself
Author :
Ishibuchi, Hisao ; Hoshino, Koichiro ; Nojima, Yusuke
Author_Institution :
Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Sakai, Japan
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
8
Abstract :
Evolution of cooperative behavior has been examined in many studies on the IPD (Iterated Prisoner´s Dilemma) game under various conditions. In some studies, each agent is allowed to play against itself. However, this setting is somewhat strange because we do not play any real-world games against ourselves. In this paper, we examine the effect of this somewhat strange setting on the evolution of cooperative behavior in a spatial IPD game. Two cases are compared with each other: Each agent is allowed to play against itself in one case and not allowed to do so in the other case. It is shown through computational experiments that similar results are obtained from these two cases when opponents of each agent are selected from a large number of its neighbors. However, the difference between the two cases is large when the number of neighbors is small. Actually the evolution of cooperative behavior is strongly facilitated by allowing each agent to play against itself when the number of neighbors is small. Our computational experiments are performed on a spatial IPD game with various specifications of the neighborhood size where binary and real number strings are used as game strategies.
Keywords :
cooperative systems; evolutionary computation; game theory; Iterated Prisoner Dilemma game; cooperative behavior evolution; spatial IPD game; strategy evolution; Encoding; Evolutionary computation; Games; Mathematical analysis; Standards; Thin film transistors; Iterated prisoner´s dilemma; evolution of cooperative behavior; evolutionary games; neighborhood size; spatial IPD game; strategy representation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
Type :
conf
DOI :
10.1109/CEC.2012.6256427
Filename :
6256427
Link To Document :
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