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Evolution Of Cooperation In A Spatial Prisoner'S Dilemma

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Author Info
FRANK SCHWEITZER () (Fraunhofer Institute for Autonomous Intelligent Systems, Schloss Birlinghoven, 53754 Sankt Augustin, Germany; Institute of Physics, Humboldt University, Invalidenstraße 110, 10115 Berlin, Germany)
LAXMIDHAR BEHERA () (Fraunhofer Institute for Autonomous Intelligent Systems, Schloss Birlinghoven, 53754 Sankt Augustin, Germany; Department of Electrical Engineering, Indian Institute of Technology, Kanpur 208 016, India)
HEINZ MÜHLENBEIN () (Fraunhofer Institute for Autonomous Intelligent Systems, Schloss Birlinghoven, 53754 Sankt Augustin, Germany)
Abstract

We investigate the spatial distribution and the global frequency of agents who can either cooperate or defect. The agent interaction is described by a deterministic, non-iterated prisoner's dilemma game, further each agent only locally interacts with his neighbors. Based on a detailed analysis of the local payoff structures we derive critical conditions for the invasion or the spatial coexistence of cooperators and defectors. These results are concluded in a phase diagram that allows us to identify five regimes, each characterized by a distinct spatiotemporal dynamics and a corresponding final spatial structure. In addition to the complete invasion of defectors, we find coexistence regimes with either a majority of cooperators in large spatial domains, or a minority of cooperators organized in small non-stationary domains or in small clusters. The analysis further allowed a verification of computer simulation results by Nowak and May (1993). Eventually, we present simulation results of a true 5-person game on a lattice. This modification leads to non-uniform spatial interactions that may even enhance the effect of cooperation.

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Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal Advances in Complex Systems.

Volume (Year): 05 (2002)
Issue (Month): 02 ()
Pages: 269-299
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Handle: RePEc:wsi:acsxxx:v:05:y:2002:i:02:p:269-299

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Related research
Keywords: Prisoner's dilemma; cooperation; spatial 5-person game;

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  1. Hokky Situngkir & Deni Khanafiah, 2004. "Metabolism of Social System: N-Person Iterated Prisoner’s Dilemma Analysis In Random Boolean Network," Game Theory and Information 0405002, EconWPA. [Downloadable!]
  2. Bukhari, S. Adnan H. A. S., 2005. "Using Genetic Algorithms To Develop Strategies For The Prisoners Dilemma," MPRA Paper 8924, University Library of Munich, Germany, revised 03 Apr 2006. [Downloadable!]
  3. Jason Barr & Troy Tassier, 2008. "Endogenous Neighborhood Selection and the Attainment of Cooperation in a Spatial Prisoner’s Dilemma Game," Fordham Economics Discussion Paper Series dp2008-21, Fordham University, Department of Economics. [Downloadable!]
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