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Moderate tolerance promotes tag-mediated cooperation in spatial Prisoner’s dilemma game

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  • Zhang, Hong

Abstract

Humans often behave discriminatorily towards others depending on their group membership. In this work, we establish a spatial Prisoner’s dilemma model to investigate the relation between tag-mediated discrimination and cooperation. By introducing tag-mediated selective interaction, we find that if tag length is sufficiently large and individuals have moderate tolerance, cooperation can be promoted. Interestingly, both too high or too low tolerance may inhibit the emergence and maintenance of cooperation, which means that individuals may benefit from moderate tolerance in society. It is also shown that the high levels of cooperation stem from the high heterogeneity and clear boundaries between clusters. Our work should be helpful to understand both the evolution of human cooperation and the science of social identity.

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  • Zhang, Hong, 2015. "Moderate tolerance promotes tag-mediated cooperation in spatial Prisoner’s dilemma game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 52-61.
    • Handle: RePEc:eee:phsmap:v:424:y:2015:i:c:p:52-61
    DOI: 10.1016/j.physa.2015.01.005
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    1. Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
    2. Alberto Alesina & Reza Baqir & William Easterly, 1999. "Public Goods and Ethnic Divisions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(4), pages 1243-1284.
    3. Izquierdo, Luis R. & Izquierdo, Segismundo S. & Vega-Redondo, Fernando, 2014. "Leave and let leave: A sufficient condition to explain the evolutionary emergence of cooperation," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 91-113.
    4. Jae-Woo Kim, 2010. "A Tag-Based Evolutionary Prisoner's Dilemma Game on Networks with Different Topologies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(3), pages 1-2.
    5. Rick L. Riolo, 1997. "The Effects of Tag-Mediated Selection of Partners in Evolving Populations Playing the Iterated PrisonerÕs Dilemma," Working Papers 97-02-016, Santa Fe Institute.
    6. Martin A. Nowak & Karl Sigmund, 1998. "Evolution of indirect reciprocity by image scoring," Nature, Nature, vol. 393(6685), pages 573-577, June.
    7. Cui, Yaozu & Wang, Xingyuan & Li, Junqiu, 2014. "Detecting overlapping communities in networks using the maximal sub-graph and the clustering coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 85-91.
    8. 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.
    9. Cui, Yaozu & Wang, Xingyuan & Eustace, Justine, 2014. "Detecting community structure via the maximal sub-graphs and belonging degrees in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 198-207.
    10. Wang, Xiaofeng & Chen, Xiaojie & Gao, Jia & Wang, Long, 2013. "Reputation-based mutual selection rule promotes cooperation in spatial threshold public goods games," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 181-187.
    11. Wang, Xingyuan & Li, Junqiu, 2013. "Detecting communities by the core-vertex and intimate degree in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2555-2563.
    12. Li, Junqiu & Wang, Xingyuan & Cui, Yaozu, 2014. "Uncovering the overlapping community structure of complex networks by maximal cliques," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 398-406.
    13. Habyarimana, James & Humphreys, Macartan & Posner, Daniel N. & Weinstein, Jeremy M., 2007. "Why Does Ethnic Diversity Undermine Public Goods Provision?," American Political Science Review, Cambridge University Press, vol. 101(4), pages 709-725, November.
    14. Li, Zhi & Gao, Jia & Suh, Il Hong & Wang, Long, 2013. "Evolution of cooperation in lattice population with adaptive interaction intensity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(9), pages 2046-2051.
    15. Ren, Guangming & Wang, Xingyuan, 2014. "Robustness of cooperation in memory-based prisoner’s dilemma game on a square lattice," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 40-46.
    16. Li, Junqiu & Wang, Xingyuan & Eustace, Justine, 2013. "Detecting overlapping communities by seed community in weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 6125-6134.
    17. Rick L. Riolo & Michael D. Cohen & Robert Axelrod, 2001. "Evolution of cooperation without reciprocity," Nature, Nature, vol. 414(6862), pages 441-443, November.
    18. Pfau, Jens & Kirley, Michael & Kashima, Yoshihisa, 2013. "The co-evolution of cultures, social network communities, and agent locations in an extension of Axelrod’s model of cultural dissemination," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(2), pages 381-391.
    19. Cui, Yaozu & Wang, Xingyuan, 2014. "Uncovering overlapping community structures by the key bi-community and intimate degree in bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 407(C), pages 7-14.
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    2. Zhang, Hong & Ye, Hang, 2016. "Role of perception cost in tag-mediated cooperation," Applied Mathematics and Computation, Elsevier, vol. 279(C), pages 76-89.

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