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Adaptive and probabilistic strategy evolution in dynamical networks

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  • Yang, Guoli
  • Zhu, Cheng
  • Zhang, Weiming

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.

Suggested Citation

  • Yang, Guoli & Zhu, Cheng & Zhang, Weiming, 2019. "Adaptive and probabilistic strategy evolution in dynamical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 99-110.
    • Handle: RePEc:eee:phsmap:v:518:y:2019:i:c:p:99-110
    DOI: 10.1016/j.physa.2018.11.046
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    References listed on IDEAS

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    1. Francisco C. Santos & Marta D. Santos & Jorge M. Pacheco, 2008. "Social diversity promotes the emergence of cooperation in public goods games," Nature, Nature, vol. 454(7201), pages 213-216, July.
    2. Jin, Qing & Wang, Zhen & Wang, Zhen & Wang, Yi-Ling, 2012. "Strategy changing penalty promotes cooperation in spatial prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 45(4), pages 395-401.
    3. Francisco C Santos & Jorge M Pacheco & Tom Lenaerts, 2006. "Cooperation Prevails When Individuals Adjust Their Social Ties," PLOS Computational Biology, Public Library of Science, vol. 2(10), pages 1-8, October.
    4. repec:hhs:iuiwop:487 is not listed on IDEAS
    5. Bin Wu & Da Zhou & Feng Fu & Qingjun Luo & Long Wang & Arne Traulsen, 2010. "Evolution of Cooperation on Stochastic Dynamical Networks," PLOS ONE, Public Library of Science, vol. 5(6), pages 1-7, June.
    6. Jorgen W. Weibull, 1997. "Evolutionary Game Theory," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262731215, December.
    7. A. Szolnoki & M. Perc, 2009. "Promoting cooperation in social dilemmas via simple coevolutionary rules," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 67(3), pages 337-344, February.
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    Cited by:

    1. Szolnoki, Attila & Chen, Xiaojie, 2020. "Strategy dependent learning activity in cyclic dominant systems," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    2. Oliveira, B.F. de & Szolnoki, A., 2021. "Social dilemmas in off-lattice populations," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    3. Szolnoki, Attila & Chen, Xiaojie, 2020. "Gradual learning supports cooperation in spatial prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    4. Szolnoki, Attila & Chen, Xiaojie, 2022. "Tactical cooperation of defectors in a multi-stage public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).

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