Punishment Mechanism with Self-Adjusting Rules in Spatial Voluntary Public Goods Games

被引:3
作者
Wu Zhong-Wei [1 ]
Xu Zhao-Jin [2 ]
Zhang Lian-Zhong [1 ,3 ]
机构
[1] Nankai Univ, Sch Phys, Tianjin 300071, Peoples R China
[2] Tianjin Univ Technol, Sch Sci, Tianjin 300384, Peoples R China
[3] Nankai Univ, Ctr Transnat Studies, Tianjin 300071, Peoples R China
基金
中国国家自然科学基金; 国家高技术研究发展计划(863计划);
关键词
public goods games; loner; equilibrium; punishment; EVOLUTIONARY GAMES; COOPERATION; TRAGEDY; DYNAMICS;
D O I
10.1088/0253-6102/62/5/03
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The phenomena of cooperation in animal and human society are ubiquitous, but the selfish outcome that no player contributes to the public good will lead to the "tragedy of the commons". The recent research shows that high punishment can improve the cooperation of the population. In this paper, we introduce a punishment mechanism into spatial voluntary public goods games with every individual only knowing his own payoff in each round. Using the self-adjusting rules, we find that the different cost for punishment can lead to different effects on the voluntary public goods games. Especially, when the cost for punishment is decreased, a higher contribution region will appear in the case of low r value. It means even for the low r value, individuals can form the contribution groups in large quantities to produce a more efficient outcome than that in moderate r value. In addition, we also find the players' memory can have effects on the average outcome of the population.
引用
收藏
页码:649 / 654
页数:6
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