A STUDY OF A QUADRUPLE CO-EVOLUTIONARY MODEL AND ITS RECIPROCITY PHASE FOR VARIOUS PRISONER'S DILEMMA GAME

Jun Tanimoto ()
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Jun Tanimoto: Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Kasuga-Koen, Kasuga-Shi, Fukuoka 816-8580, Japan

International Journal of Modern Physics C (IJMPC), 2011, vol. 22, issue 04, 401-417

Abstract: We present and numerically investigate a quadruple co-evolutionary model for 2 × 2 Prisoner's Dilemma games which allows not only for agents to adopt strategy (Cooperation C or Defection D) and for network topology, but also for the probability of link rewiring that controls the speed of network evolution and the updating rule itself. The results of a series of simulations reveal that C agents in a coexisting phase increase their rewiring probability to avoid neighboring D agents' exploitation through the Game Exit Option. This evolutionary process leads most agents to adopt pairwise updating even though Imitation Max update adopted by all agents brings a higher payoff.

Keywords: Prisoner's Dilemma; network reciprocity; evolutionary game; velocity of strategy diffusivity; 02.50.Le; 89.65.-s; 87.23.Kg (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (9)

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DOI: 10.1142/S0129183111016324

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