Aspiring to the fittest and promotion of cooperation in the prisoner's dilemma game

被引:248
作者
Wang, Zhen [1 ]
Perc, Matjaz [2 ]
机构
[1] Nankai Univ, Sch Phys, Tianjin 300071, Peoples R China
[2] Univ Maribor, Fac Nat Sci & Math, SI-2000 Maribor, Slovenia
基金
中国国家自然科学基金;
关键词
EVOLUTIONARY GAMES; EMERGENCE; SELECTION; MOBILITY; RULES;
D O I
10.1103/PhysRevE.82.021115
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
Strategy changes are an essential part of evolutionary games. Here, we introduce a simple rule that, depending on the value of a single parameter w, influences the selection of players that are considered as potential sources of the new strategy. For positive w players with high payoffs will be considered more likely, while for negative w the opposite holds. Setting w equal to zero returns the frequently adopted random selection of the opponent. We find that increasing the probability of adopting the strategy from the fittest player within reach, i.e., setting w positive, promotes the evolution of cooperation. The robustness of this observation is tested against different levels of uncertainty in the strategy adoption process and for different interaction networks. Since the evolution to widespread defection is tightly associated with cooperators having a lower fitness than defectors, the fact that positive values of w facilitate cooperation is quite surprising. We show that the results can be explained by means of a negative feedback effect that increases the vulnerability of defectors although initially increasing their survivability. Moreover, we demonstrate that the introduction of w effectively alters the interaction network and thus also the impact of uncertainty by strategy adoptions on the evolution of cooperation.
引用
收藏
页数:7
相关论文
共 61 条
[1]   Social games in a social network [J].
Abramson, G ;
Kuperman, M .
PHYSICAL REVIEW E, 2001, 63 (03)
[2]  
[Anonymous], 2006, EVOLUTIONARY DYNAMIC, DOI DOI 10.2307/J.CTVJGHW98
[3]  
[Anonymous], 1998, EVOLUTIONARY GAMES P
[4]   Enhancement of cooperation in highly clustered scale-free networks [J].
Assenza, Salvatore ;
Gomez-Gardenes, Jesus ;
Latora, Vito .
PHYSICAL REVIEW E, 2008, 78 (01)
[5]  
Axelrod R., 1984, EVOLUTION COOPERATIO
[6]   Emergence of scaling in random networks [J].
Barabási, AL ;
Albert, R .
SCIENCE, 1999, 286 (5439) :509-512
[7]   Social tolerance allows cooperation to prevail in an adaptive environment [J].
Chen, Xiaojie ;
Fu, Feng ;
Wang, Long .
PHYSICAL REVIEW E, 2009, 80 (05)
[8]   The edge of neutral evolution in social dilemmas [J].
Cremer, Jonas ;
Reichenbach, Tobias ;
Frey, Erwin .
NEW JOURNAL OF PHYSICS, 2009, 11
[9]   The shared reward dilemma [J].
Cuesta, J. A. ;
Jimenez, R. ;
Lugo, H. ;
Sanchez, A. .
JOURNAL OF THEORETICAL BIOLOGY, 2008, 251 (02) :253-263
[10]   Motion of influential players can support cooperation in Prisoner's Dilemma [J].
Droz, M. ;
Szwabinski, J. ;
Szabo, G. .
EUROPEAN PHYSICAL JOURNAL B, 2009, 71 (04) :579-585