Evolutionary prisoner’s dilemma game in flocks

Zhuo Chen, Jianxi Gao, Yunze Cai and Xiaoming Xu

Physica A: Statistical Mechanics and its Applications, 2011, vol. 390, issue 1, 50-56

Abstract: We investigate an evolutionary prisoner’s dilemma game among self-driven agents, where collective motion of biological flocks is imitated through averaging directions of neighbors. Depending on the temptation to defect and the velocity at which agents move, we find that cooperation can not only be maintained in such a system but there exists an optimal size of interaction neighborhood, which can induce the maximum cooperation level. When compared with the case that all agents do not move, cooperation can even be enhanced by the mobility of individuals, provided that the velocity and the size of neighborhood are not too large. Besides, we find that the system exhibits aggregation behavior, and cooperators may coexist with defectors at equilibrium.

Keywords: Cooperation; Flocks; Evolutionary games; Prisoner’s dilemma (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:390:y:2011:i:1:p:50-56

DOI: 10.1016/j.physa.2010.02.052

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