Central governance based on monitoring and reporting solves the collective-risk social dilemma

被引:58
|
作者
He, Nanrong [1 ,2 ]
Chen, Xiaojie [1 ]
Szolnoki, Attila [3 ]
机构
[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China
[2] Guilin Univ Aerosp Technol, Coll Sci, Guilin 541004, Peoples R China
[3] Hungarian Acad Sci, Ctr Energy Res, Inst Tech Phys & Mat Sci, POB 49, H-1525 Budapest, Hungary
基金
中国国家自然科学基金;
关键词
Cooperation; Punishment; Monitoring; Reporting; Common resource; REPLICATOR DYNAMICS; COOPERATION; PUNISHMENT; EVOLUTION; REWARD; SIZE; GAME;
D O I
10.1016/j.amc.2018.11.029
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Monitoring and reporting incorrect acts are pervasive for maintaining human cooperation, but in theory it is unclear how they influence each other. To explore their possible interactions we consider spatially structured population where individuals face the collective-risk social dilemma. In our minimal model cooperator players report defection according to the loss of their interests. In parallel we assume a monitoring institution that monitors all group member and identifies wrong behavior with a certain probability. In response to these feedbacks a sanctioning institution develops punishment schemes by imposing fines on related defector players stochastically. By means of Monte Carlo simulations, we find that the introduction of monitoring and reporting mechanisms can greatly promote the evolution of cooperation and there exists a sudden change of the cooperation level by varying model parameters, which can lead to an outbreak of cooperation for solving the collective-risk social dilemma. (C) 2018 Elsevier Inc. All rights reserved.
引用
收藏
页码:334 / 341
页数:8
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