Pool-rewarding in N-person snowdrift game

被引:38
作者
Li, Kun [1 ]
Mao, Yizhou [1 ]
Wei, Zhenlin [1 ]
Cong, Rui [2 ]
机构
[1] Hebei Univ Technol, Sch Civil & Transportat Engn, Tianjin 300130, Peoples R China
[2] Beijing Informat Sci & Technol Univ, Sch Automat, Beijing 100192, Peoples R China
基金
中国国家自然科学基金;
关键词
Evolutionary game dynamics; Cooperation; Pool rewarding; N-person snowdrift game; PUBLIC-GOODS; REPLICATOR DYNAMICS; EVOLUTION; COOPERATION;
D O I
10.1016/j.chaos.2020.110591
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We extend the N-person snowdrift game (NSG) to incorporate the effects of pool rewarding. An individual who chooses to reward pays a certain cost to provide additional benefits to cooperative behaviors. Thus, rewarding can be considered as a second-order altruistic behavior. But rewarders are actually indirectly protected by defectors as system dynamics evolves. Both the well-mixed version of NSG and the spatial game have been investigated. For well-mixed population, increasing the synergy factor of rewarding r(2) facilitates the formation of an oscillating state, while the increment of NSG synergy factor r(1) promotes the transition from the stable closed orbit to a fixed state of the system. For structured population, dynamic diversity is dramatically enriched. Especially, the existence of rewarders makes "cooperation monopolization"(the domination of cooperators or rewarders) emerge under feasible parameters. Moreover, for small reward cost, the system dynamics can converge to the absorbing state of rewarding even when the r(2) value is low. Larger reward cost, however, is not conducive to the prevalence of rewarding, but dramatically promotes second-order free-riding. Based on this study, we hope to provide guidance for the future research of positive incentives in NSG.(C) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:8
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