Dynamic noise from action errors enhances network reciprocity in the prisoner's dilemma game

被引:14
作者
Tanimoto, Jun [1 ]
Ogasawara, Takashi [1 ]
机构
[1] Kyushu Univ, Interdisciplinary Grad Sch Engn Sci, Kasuga, Fukuoka 8168580, Japan
关键词
game-theory; (theory); COOPERATION; RESONANCE; EVOLUTION;
D O I
10.1088/1742-5468/2015/01/P01033
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Inspired by the fact that people make mistakes in a transient, fluctuating or chaotic environment, we establish a spatial prisoner's dilemma model where an agent commits action errors proportionally varying with the increasing/decreasing rate of the global cooperation fraction. A series of numerical simulations reveal that the cooperation level is enhanced in games in which the stag hunt (SH)-type dilemma is dominant; however, it is slightly diminished in games in which the chicken-type dilemma is dominant, compared with the standard network reciprocity model. Intensive analysis reveals that the noise created by the action error contribute to the spatial expansion of a cooperators' cluster, because a dilemma that is less chicken-type and more SH-type makes it disadvantageous for defectors to neighbor cooperators. Our finding, that errors in behavior in a chaotic environment contribute to the evolution of cooperation, might aim to explain the problem of how network reciprocity works.
引用
收藏
页数:12
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