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The effect of preferential teaching and memory on cooperation clusters in interdependent networks

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  • Zhao, Jinqiu
  • Luo, Chao

Abstract

The inheritance of knowledge is of great significance to populations. Whether memory-based participants can propagate reasonable strategy during the process of evolutionary game is still an interesting topic. Meanwhile, cooperators converge into complex cluster structures accompanied with the evolutionary process, which can in turn considerably affect the cooperation behaviors. Hence, the dynamics of strategy clusters is significantly important for the emergence of cooperation. In view of the interdependent networks, we mainly studied the evolution of cooperation and defection clusters. Game participants in system are endowed with restricted memory and preferential teaching mechanism. Through variety of ways to analyze, we find that moderate memory and preferential teaching are beneficial to cooperative behaviors, and cooperators (defectors) with the ability of preferential teaching tend to be leaders of strategy clusters. Furthermore, by quantitative and qualitative discussions, the behaviors and characteristics of so-called leaders in system have been revealed. And, by means of information entropy, the complexity of the cooperation clusters has been further analyzed. Finally, the robustness of the results is verified by using different social game models.

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  • Zhao, Jinqiu & Luo, Chao, 2019. "The effect of preferential teaching and memory on cooperation clusters in interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 363(C), pages 1-1.
  • Handle: RePEc:eee:apmaco:v:363:y:2019:i:c:17
    DOI: 10.1016/j.amc.2019.124575
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    3. Liu, Yaojun & Liu, Xingwen, 2024. "Promotion of cooperation in evolutionary snowdrift game with heterogeneous memories," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    4. Pi, Bin & Li, Yuhan & Feng, Minyu, 2022. "An evolutionary game with conformists and profiteers regarding the memory mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 597(C).
    5. Chen, Wei & Wang, Jianwei & Yu, Fengyuan & He, Jialu & Xu, Wenshu & Wang, Rong, 2021. "Effects of emotion on the evolution of cooperation in a spatial prisoner’s dilemma game," Applied Mathematics and Computation, Elsevier, vol. 411(C).
    6. Ma, Xiaojian & Quan, Ji & Wang, Xianjia, 2021. "Effect of reputation-based heterogeneous investment on cooperation in spatial public goods game," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    7. Sun, Chengbin & Luo, Chao, 2020. "Co-evolution of influence-based preferential selection and limited resource with multi-games on interdependent networks," Applied Mathematics and Computation, Elsevier, vol. 374(C).
    8. Gao, Hongyu & Wang, Juan & Zhang, Fan & Li, Xiaopeng & Xia, Chengyi, 2021. "Cooperation dynamics based on reputation in the mixed population with two species of strategists," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    9. Huang, Shaoxu & Liu, Xuesong & Hu, Yuhan & Fu, Xiao, 2023. "The influence of aggressive behavior on cooperation evolution in social dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
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    12. Bi, Yan & Yang, Hui, 2023. "Based on reputation consistent strategy times promotes cooperation in spatial prisoner’s dilemma game," Applied Mathematics and Computation, Elsevier, vol. 444(C).

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