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Evolution of public cooperation with weighted and conditional strategies

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  • Wang, Xuwen
  • Zhang, Haifeng
  • Nie, Sen
  • Wang, Binghong

Abstract

In real systems, generous individuals who prefer to contribute can play more important roles on the public than selfish individuals. Inspired by this, a spatial public goods game with weighted and conditional strategies is proposed in this paper. In our model, a player’s contribution behavior is mainly determined by the less cautious neighbors rather than those more cautious ones. The weight effect is adjusted by a non-negative parameter α. Our results show that the number of strategies increases with the weight parameter α for the low multiplication factor r. On the contrary, for the high multiplication factor r, the less cautious cooperators are more likely to appear in the system.

Suggested Citation

  • Wang, Xuwen & Zhang, Haifeng & Nie, Sen & Wang, Binghong, 2013. "Evolution of public cooperation with weighted and conditional strategies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4668-4674.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:19:p:4668-4674
    DOI: 10.1016/j.physa.2013.05.020
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    References listed on IDEAS

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    1. Zhen Wang & Lin Wang & Zi-Yu Yin & Cheng-Yi Xia, 2012. "Inferring Reputation Promotes the Evolution of Cooperation in Spatial Social Dilemma Games," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
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    4. Zhang, Haifeng & Shi, Dongmei & Liu, Runran & Wang, Binghong, 2012. "Dynamic allocation of investments promotes cooperation in spatial public goods game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2617-2622.
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    Cited by:

    1. Yang Wang & Binghong Wang, 2015. "Evolution of Cooperation on Spatial Network with Limited Resource," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-9, August.
    2. Wang, Xu-Wen & Wang, Zhen & Nie, Sen & Jiang, Luo-Luo & Wang, Bing-Hong, 2015. "Impact of keeping silence on spatial reciprocity in spatial games," Applied Mathematics and Computation, Elsevier, vol. 250(C), pages 848-853.
    3. Wang, Yi-Ling, 2013. "Learning ability driven by majority selection enhances spatial reciprocity in prisoner’s dilemma game," Chaos, Solitons & Fractals, Elsevier, vol. 56(C), pages 96-100.
    4. Huang, Yongchao & Wan, Siyi & Zheng, Junjun & Liu, Wenyi, 2023. "Evolution of cooperation in spatial public goods game with interactive diversity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).
    5. Cui, Guang-Hai & Wang, Zhen & Ren, Jian-Kang & Lu, Kun & Li, Ming-Chu, 2016. "Promotion of cooperation induced by discriminators in the spatial multi-player donor–recipient game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 92-103.
    6. Wang, Xu-Wen & Jiang, Luo-Luo & Nie, Sen & Wang, Bing-Hong, 2015. "Uncovering cooperative behaviors with sparse historical behavior data in the spatial games," Applied Mathematics and Computation, Elsevier, vol. 271(C), pages 317-322.

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