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Strategy preference promotes cooperation in spatial evolutionary games

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  • Zhang, Shuhua
  • Zhang, Zhipeng
  • Wu, Yu’e
  • Yan, Ming
  • Li, Yu

Abstract

Strategy preference is a nonnegligible factor in the evolution of cooperation. In the present paper, we propose a modified strategy updating model, in which strategy preference has a significant influence on the strategy adoption. Strategy preference adjusts the probability of imitation according to partner’s strategy in the spatial prisoner’s dilemma game. This characteristic depicts the subjectively cognitive ability of players in decision making. To explore the effect of the newly introduced mechanism, we also control the proportion of players using this new model. Numerical results chiefly focus on the evolution and proportion of cooperation, which are obtained under different proportions of this mechanism and intensities of strategy preference. For this dynamics, the results show that the fraction of cooperators presents a growth trend within a wide range of parameters. To validate the generality of this mechanism, we also employ the snowdrift game. Moreover, the evolution of cooperation on Erdős–Rényi random graphs is studied for the prisoner’s dilemma game. Interestingly, our analysis also reveals that the one’s strategy preference can influence the strategy selection of others. The results are conducive to understanding the emergence and persistence of cooperation during the strategy adoption in reality.

Suggested Citation

  • Zhang, Shuhua & Zhang, Zhipeng & Wu, Yu’e & Yan, Ming & Li, Yu, 2019. "Strategy preference promotes cooperation in spatial evolutionary games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 181-188.
  • Handle: RePEc:eee:phsmap:v:514:y:2019:i:c:p:181-188
    DOI: 10.1016/j.physa.2018.09.068
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    1. Chen Chu & Jinzhuo Liu & Chen Shen & Jiahua Jin & Lei Shi, 2017. "Win-stay-lose-learn promotes cooperation in the prisoner’s dilemma game with voluntary participation," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-8, February.
    2. Zhang, Huanren, 2018. "Errors can increase cooperation in finite populations," Games and Economic Behavior, Elsevier, vol. 107(C), pages 203-219.
    3. Shi, Dong-Mei & Yang, Han-Xin & Hu, Mao-Bin & Du, Wen-Bo & Wang, Bing-Hong & Cao, Xian-Bin, 2009. "Preferential selection promotes cooperation in a spatial public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4646-4650.
    4. Li, Chao & Wang, Li & Sun, Shiwen & Xia, Chengyi, 2018. "Identification of influential spreaders based on classified neighbors in real-world complex networks," Applied Mathematics and Computation, Elsevier, vol. 320(C), pages 512-523.
    5. Anna Dreber & David G. Rand & Drew Fudenberg & Martin A. Nowak, 2008. "Winners don’t punish," Nature, Nature, vol. 452(7185), pages 348-351, March.
    6. Bo, Xianyu, 2010. "Other-regarding preference and the evolutionary prisoner’s dilemma on complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(5), pages 1105-1114.
    7. 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.
    8. Karthik Panchanathan & Robert Boyd, 2004. "Indirect reciprocity can stabilize cooperation without the second-order free rider problem," Nature, Nature, vol. 432(7016), pages 499-502, November.
    9. Wu, Yu’e & Zhang, Zhipeng & Chang, Shuhua, 2017. "Effect of self-interaction on the evolution of cooperation in complex topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 481(C), pages 191-197.
    10. Fainmesser, Itay P. & Goldberg, David A., 2018. "Cooperation in partly observable networked markets," Games and Economic Behavior, Elsevier, vol. 107(C), pages 220-237.
    11. Blume, Andreas & Gneezy, Uri, 2010. "Cognitive forward induction and coordination without common knowledge: An experimental study," Games and Economic Behavior, Elsevier, vol. 68(2), pages 488-511, March.
    12. Ernst Fehr & Simon Gächter, 2002. "Altruistic punishment in humans," Nature, Nature, vol. 415(6868), pages 137-140, January.
    13. Xia, Cheng-yi & Ma, Zhi-qin & Wang, Zhen & Wang, Juan, 2012. "Evaluating fitness by integrating the highest payoff within the neighborhood promotes cooperation in social dilemmas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6440-6447.
    14. Xuelong Li & Marko Jusup & Zhen Wang & Huijia Li & Lei Shi & Boris Podobnik & H. Eugene Stanley & Shlomo Havlin & Stefano Boccaletti, 2018. "Punishment diminishes the benefits of network reciprocity in social dilemma experiments," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 115(1), pages 30-35, January.
    15. Tao Wang & Keke Huang & Zhen Wang & Xiaoping Zheng, 2015. "Impact of Small Groups with Heterogeneous Preference on Behavioral Evolution in Population Evacuation," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-13, March.
    16. Xia, Cheng-yi & Ma, Zhi-qin & Wang, Yi-ling & Wang, Jin-song & Chen, Zeng-qiang, 2011. "Enhancement of cooperation in prisoner’s dilemma game on weighted lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4602-4609.
    17. Martin A. Nowak & Karl Sigmund, 1998. "Evolution of indirect reciprocity by image scoring," Nature, Nature, vol. 393(6685), pages 573-577, June.
    18. 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.
    19. Ma, Yongjuan & Chu, Chen & Chen, Fei & Shen, Chen & Geng, Yini & Shi, Lei, 2018. "Evolutionary dynamics of social dilemmas with asymmetry," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 156-161.
    20. Zhang, Hai-Feng & Jin, Zhen & Wang, Zhen, 2014. "Cooperation and popularity in spatial games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 414(C), pages 86-94.
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