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Towards preferential selection in the prisoner’s dilemma game

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  • Bingzhuang Qiang
  • Lan Zhang
  • Changwei Huang

Abstract

In previous works, the choice of learning neighbor for an individual has generally obeyed pure random selection or preferential selection rules. In this paper, we introduce a tunable parameter ε to characterize the strength of preferential selection and focus on the transition towards preferential selection in the spatial evolutionary game by controlling ε to guide the system from pure random selection to preferential selection. Our simulation results reveal that the introduction of preferential selection can hugely alleviate social dilemmas and enhance network reciprocity. A larger ε leads to a higher critical threshold of the temptation b for the extinction of cooperators. Moreover, we provide some intuitive explanations for the above results from the perspective of strategy transition and cooperative clusters. Finally, we examine the robustness of the results for noise K and different topologies, find that qualitative features of the results are unchanged.

Suggested Citation

  • Bingzhuang Qiang & Lan Zhang & Changwei Huang, 2023. "Towards preferential selection in the prisoner’s dilemma game," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-12, February.
    • Handle: RePEc:plo:pone00:0282258
    DOI: 10.1371/journal.pone.0282258
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    References listed on IDEAS

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    1. Han, Dun & Yan, Shuting & Li, Dandan, 2019. "The evolutionary public goods game model with punishment mechanism in an activity-driven network," Chaos, Solitons & Fractals, Elsevier, vol. 123(C), pages 254-259.
    2. Lin, Jingyan & Huang, Changwei & Dai, Qionglin & Yang, Junzhong, 2020. "Evolutionary game dynamics of combining the payoff-driven and conformity-driven update rules," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    3. Zhen Wang & Zhen Wang & Yuan-Han Yang & Ming-Xing Yu & Li-Guo Liao, 2012. "Age-Related Preferential Selection Can Promote Cooperation In The Prisoner'S Dilemma Game," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-11.
    4. Zhang, Lan & Huang, Changwei & Li, Haihong & Dai, Qionglin & Yang, Junzhong, 2021. "Effects of directional migration for pursuit of profitable circumstances in evolutionary games," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    5. Liu, Linjie & Chen, Xiaojie, 2022. "Effects of interconnections among corruption, institutional punishment, and economic factors on the evolution of cooperation," Applied Mathematics and Computation, Elsevier, vol. 425(C).
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    Cited by:

    1. Ye, Wenxing & Wen, Luliang & Fan, Suohai, 2025. "Memory-based prisoner’s dilemma game with payoff-driven preferential selection," Chaos, Solitons & Fractals, Elsevier, vol. 192(C).

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