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Separated interactive behaviors promote cooperation in the spatial prisoner’s dilemma game

Author

Listed:
  • Deming Mao

    (Northwestern Polytechnical University)

  • Xiaoyu Li

    (Northwestern Polytechnical University)

  • Dejun Mu

    (Northwestern Polytechnical University)

  • Dujuan Liu

    (Xi’an Aeronautical Polytechnic Institute)

  • Chen Chu

    (Northwestern Polytechnical University
    Yunnan University of Finance and Economics)

Abstract

Interactive diversity and interactive identity are two common behavioral patterns. Interactive identity, where each individual takes identity behavior to all its neighbors, and interactive diversity, where each individual takes diversity behaviors to its different neighbors. However, most previous researches mainly focused on study these two behaviors separately. So how the cooperation dynamics will perform when two behaviors are mixed in population still needs a reasonable explanation. In this paper, we study the cooperation evolution process when players take interactive diversity and identity are mixed in population. This model is applied for prisoner dilemma game on square lattice. When studying mixed population including both interactive in various proportions we find out the damage of cooperation. On the contrary, when player taking interactive diversity or players taking interactive identity exist alone in the population cooperation will be improved. To figure out the internal dynamic, we plot different kinds of strategy pair evolution process and the distribution of strategy and player when different proportion. The results of our study reveal that for only players taking interactive diversity or identity, defectors form distinct shape of clusters, while when two typed players are mixed distribute in network, defectors will form large and connected clusters, which is the crucial to maintain existence of defectors. Graphic abstract

Suggested Citation

  • Deming Mao & Xiaoyu Li & Dejun Mu & Dujuan Liu & Chen Chu, 2021. "Separated interactive behaviors promote cooperation in the spatial prisoner’s dilemma game," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(7), pages 1-9, July.
    • Handle: RePEc:spr:eurphb:v:94:y:2021:i:7:d:10.1140_epjb_s10051-021-00118-7
    DOI: 10.1140/epjb/s10051-021-00118-7
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    References listed on IDEAS

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    1. Liu, Chen & Guo, Hao & Li, Zhibin & Gao, Xiaoyuan & Li, Shudong, 2019. "Coevolution of multi-game resolves social dilemma in network population," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 402-407.
    2. Liu, Chen & Shi, Juan & Li, Tong & Liu, Jinzhuo, 2019. "Aspiration driven coevolution resolves social dilemmas in networks," Applied Mathematics and Computation, Elsevier, vol. 342(C), pages 247-254.
    3. Peican Zhu & Xin Hou & Yangming Guo & Jiwei Xu & Jinzhuo Liu, 2021. "Investigating the effects of updating rules on cooperation by incorporating interactive diversity," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(2), pages 1-8, February.
    4. Liu, Jinzhuo & Meng, Haoran & Wang, Wei & Xie, Zhongwen & Yu, Qian, 2019. "Evolution of cooperation on independent networks: The influence of asymmetric information sharing updating mechanism," Applied Mathematics and Computation, Elsevier, vol. 340(C), pages 234-241.
    5. Liu, Danna & Huang, Changwei & Dai, Qionglin & Li, Haihong, 2019. "Positive correlation between strategy persistence and teaching ability promotes cooperation in evolutionary Prisoner’s Dilemma games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 267-274.
    6. Francisco C. Santos & Marta D. Santos & Jorge M. Pacheco, 2008. "Social diversity promotes the emergence of cooperation in public goods games," Nature, Nature, vol. 454(7201), pages 213-216, July.
    7. F. Fu & L.-H. Liu & L. Wang, 2007. "Evolutionary Prisoner's Dilemma on heterogeneous Newman-Watts small-world network," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 56(4), pages 367-372, April.
    8. Martin A. Nowak & Karl Sigmund, 2005. "Evolution of indirect reciprocity," Nature, Nature, vol. 437(7063), pages 1291-1298, October.
    9. Peican Zhu & Xin Hou & Yangming Guo & Jiwei Xu & Jinzhuo Liu, 2021. "Erratum to: Investigating the effects of updating rules on cooperation by incorporating interactive diversity," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 94(4), pages 1-1, April.
    10. 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.
    11. Johannes G. Reiter & Christian Hilbe & David G. Rand & Krishnendu Chatterjee & Martin A. Nowak, 2018. "Crosstalk in concurrent repeated games impedes direct reciprocity and requires stronger levels of forgiveness," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
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