Contribution diversity and incremental learning promote cooperation in public goods games
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DOI: 10.1016/j.physa.2017.05.057
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Cited by:
- Tu, Jing, 2018. "Contribution inequality in the spatial public goods game: Should the rich contribute more?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 9-14.
- Quan, Ji & Yang, Xiukang & Wang, Xianjia, 2018. "Spatial public goods game with continuous contributions based on Particle Swarm Optimization learning and the evolution of cooperation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 973-983.
- Shang, Lihui & Sun, Sihao & Ai, Jun & Su, Zhan, 2022. "Cooperation enhanced by the interaction diversity for the spatial public goods game on regular lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
- Zhang, Xiaoyang & Chen, Tong & Chen, Qiao & Li, Xueya, 2020. "Will you cooperate in case the payoff can be guaranteed?," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
- Zhenghong Wu & Huan Huang & Qinghu Liao, 2021. "The study on the role of dedicators on promoting cooperation in public goods game," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-17, September.
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Keywords
Public goods games; Cooperation; Contribution diversity; Incremental learning;All these keywords.
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