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The effect of recommended role models in prisoner’s dilemma game

Author

Listed:
  • Gao, Jia
  • Li, Zhi
  • Liu, Yongkui
  • Wang, Long

Abstract

Previous studies concerning the prisoner’s dilemma game on graphs conventionally assume that individuals select role models from their replacement graphs at random. We propose a extended prisoner’s dilemma game model to study the impact of recommended role models on the evolution of cooperation in a homogeneous population. Individuals are endowed with the capacity to recommend the ones they imitated in the past to their neighbors for strategy updating. Numerical simulations show that cooperation can be improved significantly when recommendation is allowed. Our results might be helpful in explaining the widespread cooperation in the real world.

Suggested Citation

  • Gao, Jia & Li, Zhi & Liu, Yongkui & Wang, Long, 2011. "The effect of recommended role models in prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 811-816.
    • Handle: RePEc:eee:phsmap:v:390:y:2011:i:5:p:811-816
    DOI: 10.1016/j.physa.2010.10.048
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    Cited by:

    1. Li, Cong & Xu, Hedong & Fan, Suohai, 2020. "Synergistic effects of self-optimization and imitation rules on the evolution of cooperation in the investor sharing game," Applied Mathematics and Computation, Elsevier, vol. 370(C).
    2. Olatunji Abdul Shobande & Mobolaji Daniel Akinbomi, 2020. "Competition dynamics in Nigerian aviation industry: a game theoretic approach," Future Business Journal, Springer, vol. 6(1), pages 1-8, December.
    3. Deng, Xinyang & Zhang, Zhipeng & Deng, Yong & Liu, Qi & Chang, Shuhua, 2016. "Self-adaptive win-stay-lose-shift reference selection mechanism promotes cooperation on a square lattice," Applied Mathematics and Computation, Elsevier, vol. 284(C), pages 322-331.

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