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An evolving Stag-Hunt game with elimination and reproduction on regular lattices

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  • Wang, Lei
  • Xia, Chengyi
  • Wang, Li
  • Zhang, Ying

Abstract

Based on a regular lattice, we present an evolving Stag-Hunt game model to illustrate the persistence of cooperation in many real-world systems. In our model, starting from a regular lattice, at first agents play the Stag-Hunt game with each other and perform the strategy update same as the traditional game dynamics on graphs; After that, each player tries to cut off the link with the defective neighbor with the highest fitness and build a new link preferentially connected to a high-degree node; If an isolated node is eliminated from the system, a new player will be reproduced and inserted into the system so as to keep the system size constant. Large-scale numerical simulations indicate that the cooperation level can be greatly promoted compared to the standard stag-hunt game behaviors on regular lattices, and the link rewiring and node’s elimination and reproduction represent the co-evolution between the structure and game dynamics, which facilitates the cooperative clusters among nodes. Our model can, to some extent, characterize the realistic cases in which an individual often tries to avoid the future contact with a defective partner. Current findings are beneficial to help us to deeply understand the evolution of cooperation within many natural, social and economic systems.

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  • Wang, Lei & Xia, Chengyi & Wang, Li & Zhang, Ying, 2013. "An evolving Stag-Hunt game with elimination and reproduction on regular lattices," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 69-76.
  • Handle: RePEc:eee:chsofr:v:56:y:2013:i:c:p:69-76
    DOI: 10.1016/j.chaos.2013.07.002
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    6. Oliveira, B.F. de & Szolnoki, A., 2021. "Social dilemmas in off-lattice populations," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    7. Yunsheng Deng & Jihui Zhang, 2022. "The choice-decision based on memory and payoff favors cooperation in stag hunt game on interdependent networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 95(2), pages 1-13, February.
    8. Pi, Bin & Li, Yuhan & Feng, Minyu, 2022. "An evolutionary game with conformists and profiteers regarding the memory mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    9. Li, Minlan & Liu, Yan-Ping & Han, Yanyan & Wang, Rui-Wu, 2022. "Environmental heterogeneity unifies the effect of spatial structure on the altruistic cooperation in game-theory paradigms," Chaos, Solitons & Fractals, Elsevier, vol. 163(C).
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    11. Wang, Chaoqian & Pan, Qiuhui & Ju, Xinxiang & He, Mingfeng, 2021. "Public goods game with the interdependence of different cooperative strategies," Chaos, Solitons & Fractals, Elsevier, vol. 146(C).
    12. Wang, Lei & Wang, Juan & Guo, Baohong & Ding, Shuai & Li, Yukun & Xia, Chengyi, 2014. "Effects of benefit-inspired network coevolution on spatial reciprocity in the prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 66(C), pages 9-16.
    13. Shu, Feng & Liu, Yaojun & Liu, Xingwen & Zhou, Xiaobing, 2019. "Memory-based conformity enhances cooperation in social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 346(C), pages 480-490.
    14. Dong, Yukun & Xu, Hedong & Fan, Suohai, 2019. "Memory-based stag hunt game on regular lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 247-255.
    15. Shu, Feng & Liu, Xingwen & Fang, Kai & Chen, Hao, 2018. "Memory-based snowdrift game on a square lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 15-26.
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    17. Li, Yan & Ye, Hang, 2015. "Effect of migration based on strategy and cost on the evolution of cooperation," Chaos, Solitons & Fractals, Elsevier, vol. 76(C), pages 156-165.

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