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The coevolution of partner switching and strategy updating in non-excludable public goods game

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  • Li, Yixiao
  • Shen, Bin

Abstract

Spatial public goods game is a popular metaphor to model the dilemma of collective cooperation on graphs, yet the non-excludable property of public goods has seldom been considered in previous models. Based upon a coevolutionary model where agents play public goods games and adjust their partnerships, the present model incorporates the non-excludable property of public goods: agents are able to adjust their participation in the games hosted by others, whereas they cannot exclude others from their own games. In the coevolution, a directed and dynamical network which represents partnerships among autonomous agents is evolved. We find that non-excludable property counteracts the positive effect of partner switching, i.e., the equilibrium level of cooperation is lower than that in the situation of excludable public goods game. Therefore, we study the effect of individual punishment that cooperative agents pay a personal cost to decrease benefits of those defective neighbors who participate in their hosted games. It is found that the cooperation level in the whole population is heightened in the presence of such a costly behavior.

Suggested Citation

  • Li, Yixiao & Shen, Bin, 2013. "The coevolution of partner switching and strategy updating in non-excludable public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4956-4965.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:20:p:4956-4965
    DOI: 10.1016/j.physa.2013.05.054
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    Cited by:

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    2. Quan, Ji & Yang, Xiukang & Wang, Xianjia, 2018. "Spatial public goods game with continuous contributions based on Particle Swarm Optimization learning and the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 973-983.
    3. Wang, Mie & Kang, HongWei & Shen, Yong & Sun, XingPing & Chen, QingYi, 2021. "The role of alliance cooperation in spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    4. Sergio F. Góngora y Moreno & J. Octavio Gutierrez-Garcia, 2018. "Collective action in organizational structures," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 1-33, March.
    5. Takesue, Hirofumi, 2021. "Symmetry breaking in the prisoner’s dilemma on two-layer dynamic multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 388(C).

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