A synergy of punishment and extortion in cooperation dilemmas driven by the leader

被引:12
作者
Wang, JunFang [1 ,2 ]
Guo, JinLi [1 ]
机构
[1] Univ Shanghai Sci & Technol, Business sch, Shanghai 200093, Peoples R China
[2] North China Univ Water Resources & Elect Power, Sch Math & Stat, Zhengzhou 450046, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Punishment; Extortion; Large degree node; Cooperation; Combined strategy; SCALE-FREE NETWORKS; TIT-FOR-TAT; PRISONERS-DILEMMA; STRATEGIES; EVOLUTION; GAME; EMERGENCE;
D O I
10.1016/j.chaos.2019.01.004
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Punishment and extortion have been acknowledged to play key roles in sustaining and catalysing cooperation respectively, yet we still have to face a rather gloomy evolutionary outlook if we continue using them alone in a high betrayal temptation. This paper proposes a new strategy that combines punishment and extortion used by one leader. The results show that a node with a large degree is more capable of influencing others. Using the combined strategy, one large degree node could push everyone's mutual cooperation in a probability close to or equal to 1. Moreover, he/she obtains the highest scores. We also demonstrate that the combined strategy is superior to some classic winning strategies (WSLS). The findings show the synergy of punishment and extortion is effective in promoting cooperation. An immediate implication is that it combines two strategies' merits, and the leader can choose the right strategy between them at the right time to fight the defectors. And the results are robust to game betrayer temptation, competitive strategies. Complementary, it has strong flexibility for the user. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:263 / 268
页数:6
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