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Impact of reputation assortment on tag-mediated altruistic behaviors in the spatial lattice

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  • Jian, Qing
  • Li, Xiaopeng
  • Wang, Juan
  • Xia, Chengyi

Abstract

We present a novel donation game model to investigate the impact of reputation on the evolution of tag-mediated altruistic behaviors, in which the donors need to simultaneously take the information of a recipient’s reputation and tag into account when making decisions. In detail, each individual can be randomly endowed with a tunable reputation value and a fixed tag at the initial stage, the donor’s reputation will be adaptively varied by the adjustment increment Rg according to the action at each game round. In addition, another tunable parameter ω is used to control the strategy spreading ability of the individual with lower reputation. Through extensive simulations, the results indicate that the combination of reputation and tag greatly promotes the evolution of altruistic behaviors within the structured population. When other parameters are fixed, the smaller the value of ω is, the more obvious the advantage of dominant strategy becomes. It is also found that the reputation threshold has a decisive effect on the dominant strategy within the population. The current results suggest that the reputation contributes significantly to the evolution of cooperation in the population with the green beard effect, we hope our work can provide some valuable clues for exploring the altruistic behaviors in the future.

Suggested Citation

  • Jian, Qing & Li, Xiaopeng & Wang, Juan & Xia, Chengyi, 2021. "Impact of reputation assortment on tag-mediated altruistic behaviors in the spatial lattice," Applied Mathematics and Computation, Elsevier, vol. 396(C).
  • Handle: RePEc:eee:apmaco:v:396:y:2021:i:c:s009630032030881x
    DOI: 10.1016/j.amc.2020.125928
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    References listed on IDEAS

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    1. Zaggl, Michael A., 2014. "Eleven mechanisms for the evolution of cooperation," Journal of Institutional Economics, Cambridge University Press, vol. 10(2), pages 197-230, June.
    2. Tatsuya Sasaki & Hitoshi Yamamoto & Isamu Okada & Satoshi Uchida, 2017. "The Evolution of Reputation-Based Cooperation in Regular Networks," Games, MDPI, vol. 8(1), pages 1-16, January.
    3. Tim Clutton-Brock, 2009. "Cooperation between non-kin in animal societies," Nature, Nature, vol. 462(7269), pages 51-57, November.
    4. Zhenhua Pei & Baokui Wang & Jinming Du, 2016. "Effects of income redistribution on the evolution of cooperation in spatial public goods games," Papers 1611.01531, arXiv.org.
    5. 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.
    6. Martin A. Nowak & Karl Sigmund, 1998. "Evolution of indirect reciprocity by image scoring," Nature, Nature, vol. 393(6685), pages 573-577, June.
    7. M.A. Nowak & K. Sigmund, 1998. "Evolution of Indirect Reciprocity by Image Scoring/ The Dynamics of Indirect Reciprocity," Working Papers ir98040, International Institute for Applied Systems Analysis.
    8. Martin A. Nowak & Karl Sigmund, 2005. "Evolution of indirect reciprocity," Nature, Nature, vol. 437(7063), pages 1291-1298, October.
    9. 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).
    10. Li, Xiaopeng & Sun, Shiwen & Xia, Chengyi, 2019. "Reputation-based adaptive adjustment of link weight among individuals promotes the cooperation in spatial social dilemmas," Applied Mathematics and Computation, Elsevier, vol. 361(C), pages 810-820.
    11. Rick L. Riolo & Michael D. Cohen & Robert Axelrod, 2001. "Evolution of cooperation without reciprocity," Nature, Nature, vol. 414(6862), pages 441-443, November.
    12. Zhang, Hong & Ye, Hang, 2016. "Role of perception cost in tag-mediated cooperation," Applied Mathematics and Computation, Elsevier, vol. 279(C), pages 76-89.
    13. 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.
    14. Rick L. Riolo & Michael D. Cohen & Robert Axelrod, 2002. "Does similarity breed cooperation?," Nature, Nature, vol. 418(6897), pages 500-500, August.
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