Coevolutionary, coexisting learning and teaching agents model for prisoner’s dilemma games enhancing cooperation with assortative heterogeneous networks

Jun Tanimoto

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 13, 2955-2964

Abstract: Unlike other natural network systems, assortativity can be observed in most human social networks, although it has been reported that a social dilemma situation represented by the prisoner’s dilemma favors dissortativity to enhance cooperation. We established a new coevolutionary model for both agents’ strategy and network topology, where teaching and learning agents coexist. Remarkably, this model enables agents’ enhancing cooperation more than a learners-only model on a time-frozen scale-free network and produces an underlying assortative network with a fair degree of power-law distribution. The model may imply how and why assortative networks are adaptive in human society.

Keywords: Evolutionary game on network; Prisoner’s dilemma game; Assortative coefficient; Coevolution (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (16)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:13:p:2955-2964

DOI: 10.1016/j.physa.2013.02.004

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