Presentation 2002/1/3
The Strategy Evolution in N-person Iterated Prisoner's Dilemma Games : The format of Technical Report of IEICE
Takafumi IKEDA, Hitoshi IBA,
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Abstract(in English) Althought the normal 2 person Iterated Prisoner's Dilemma has widely been studied for explaination of the cooperative behaviour evolution in social and biological systems, it began to be recognized this model has some limitation. Compared with the Prisoner's Dilemma played by 2 persons, the n-person Iterated Prisoner's Dilemma (n-IPD) has greater generality and applicability to real-life situations. In addition to the problems of energy conservation, ecology, and overpopulation, many other real-life problems can be represented by the n-IPD paradigm. The n-IPD can model those problems which cannot be handled by the 2-IPD. This paper shows the population dynamics of the 3 and 4-IPD game, in which different strategies are evolved by Genetic Algorithm. We discuss the emergent properties of n-IPD by example.
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Keyword(in English) n-IPD / cooperative behaviour / Genetic Algorithm
Paper # AI2001-80
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Committee AI
Conference Date 2002/1/3(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) The Strategy Evolution in N-person Iterated Prisoner's Dilemma Games : The format of Technical Report of IEICE
Sub Title (in English)
Keyword(1) n-IPD
Keyword(2) cooperative behaviour
Keyword(3) Genetic Algorithm
1st Author's Name Takafumi IKEDA
1st Author's Affiliation Department of Frontier Information, Graduate School of Frontier Sciences, University of Tokyo()
2nd Author's Name Hitoshi IBA
2nd Author's Affiliation Department of Frontier Information, Graduate School of Frontier Sciences, University of Tokyo
Date 2002/1/3
Paper # AI2001-80
Volume (vol) vol.101
Number (no) 536
Page pp.pp.-
#Pages 8
Date of Issue