Self-organized cooperative behavior and critical penalty in an evolving population

Chen Xu, P.M. Hui, You-Yang Yu and Guo-Qing Gu

Physica A: Statistical Mechanics and its Applications, 2009, vol. 388, issue 20, 4445-4452

Abstract: The emergence of cooperation and the effectiveness of penalties among competing agents are studied via a model of evolutionary game incorporating adaptive behavior and penalties for illegal acts. For initially identical agents, a phase diagram is obtained via an analytic approach, with results in good agreement with numerical simulations. The results show that there exists a critical penalty for achieving a completely honest population and a sufficiently well-behaved initial population requires no penalty. Self-organized segregation to extreme actions emerges in the dynamics for a system with uniformly distributed initial tendencies for cooperation. After training, the penalty can be relaxed without ruining the adapted cooperative behavior. Results of our model in a population taking on the form of a 2D square lattice are also reported.

Keywords: Self-organized cooperation; Penalty (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:388:y:2009:i:20:p:4445-4452

DOI: 10.1016/j.physa.2009.07.013

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