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Co-evolution of reputation-based preference selection and resource allocation with multigame on interdependent networks

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  • Bin, Liu
  • Yue, Wu

Abstract

In nature and human society, individual's reputation and selection of interaction objects play a very important role in explaining the emergence and maintenance of cooperation. Meanwhile, how to make resources allocation more evenly and properly has attracted extensive attention. In this article, based on the multi-game mode of the interdependent network, a reputation-based preference selection mechanism is proposed, where individual's reputation is used as its weight to redefine its individual's fitness and dynamically adjusted. And, the cooperative behavior and dynamic characteristics of different individuals in the system from different perspectives are studied. Moreover, limited resources are also leaded into the network, which has an impact on the reputation of agents. Based on this model, the interdependent strength, reputation, sucker's payoff and strategy choice from different angles is deeply studied, and corresponding evolution dynamics are also discussed. As the results, the optimal interdependent strength is found. Besides, preferential parameter and sucker's payoff not only improve cooperation rate, but also affect the resource allocation of different individuals in the system. Finally, we hope that it can provide some theoretical references for some real systems through this work.

Suggested Citation

  • Bin, Liu & Yue, Wu, 2023. "Co-evolution of reputation-based preference selection and resource allocation with multigame on interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 456(C).
    • Handle: RePEc:eee:apmaco:v:456:y:2023:i:c:s0096300323002977
    DOI: 10.1016/j.amc.2023.128128
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    1. Li, Zhibin & Jia, Danyang & Guo, Hao & Geng, Yini & Shen, Chen & Wang, Zhen & Li, Xuelong, 2019. "The effect of multigame on cooperation in spatial network," Applied Mathematics and Computation, Elsevier, vol. 351(C), pages 162-167.
    2. Sakiyama, Tomoko & Arizono, Ikuo, 2019. "An adaptive replacement of the rule update triggers the cooperative evolution in the Hawk–Dove game," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 59-62.
    3. Serguei Saavedra & Felix Reed-Tsochas & Brian Uzzi, 2009. "A simple model of bipartite cooperation for ecological and organizational networks," Nature, Nature, vol. 457(7228), pages 463-466, January.
    4. Christoph Hauert & Michael Doebeli, 2004. "Spatial structure often inhibits the evolution of cooperation in the snowdrift game," Nature, Nature, vol. 428(6983), pages 643-646, April.
    5. Deng, Zhenghong & Wang, Shengnan & Gu, Zhiyang & Xu, Juwei & Song, Qun, 2017. "Heterogeneous preference selection promotes cooperation in spatial prisoners’ dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 100(C), pages 20-23.
    6. K. M. Ariful Kabir & Jun Tanimoto & Zhen Wang, 2018. "Influence of bolstering network reciprocity in the evolutionary spatial Prisoner’s Dilemma game: a perspective," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 91(12), pages 1-10, December.
    7. Guo, Tian & Guo, Mi & Zhang, Yan & Liang, Shuanglu, 2019. "The effect of aspiration on the evolution of cooperation in spatial multigame," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 27-32.
    8. 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.
    9. Cremene, Ligia & Cremene, Marcel, 2021. "The Social Honesty game - A computational analysis of the impact of conformity and identity on honest behavior contagion in complex social systems," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    10. Zhu, Peican & Wang, Xiaoyu & Jia, Danyang & Guo, Yangming & Li, Shudong & Chu, Chen, 2020. "Investigating the co-evolution of node reputation and edge-strategy in prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 386(C).
    11. Deng, Zheng-Hong & Huang, Yi-Jie & Gu, Zhi-Yang & Li-Gao,, 2018. "Multigames with social punishment and the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 164-170.
    12. Chu, Chen & Zhai, Yao & Mu, Chunjiang & Hu, Die & Li, Tong & Shi, Lei, 2019. "Reputation-based popularity promotes cooperation in the spatial prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
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