Adaptive and probabilistic strategy evolution in dynamical networks

Guoli Yang, Cheng Zhu and Weiming Zhang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 518, issue C, 99-110

Abstract: In the evolution of cooperation, numerous agents are playing games with each other by adopting dynamical strategies in dynamical networks. The dynamics of strategy and structure are entangled tightly, where the dynamics on networks is driven by the evolving strategies and the dynamics of networks is led by the rewiring actions. In this paper, adaptive and probabilistic strategies are studied to explore the prevalence of cooperation in Prisoner’s Dilemma (PD). Each agent will update the probability to cooperate in a distributed manner by aggregating local and historical information instead of pairwise comparison, meanwhile the agents rewire the network by redirecting the links from defective neighbours to others. Global prosperity comes along with the emergent diversity of network, when a large number of edges are absorbed into a tiny group of cooperative agents. A rich landscape is demonstrated by changing various embedding parameters, which may shed light upon the self-interested behaviour and swarm intelligence in social, biological and ecological networks.

Keywords: Probabilistic strategy; Adaptive networks; Prisoner’s dilemma (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:518:y:2019:i:c:p:99-110

DOI: 10.1016/j.physa.2018.11.046

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