title: Aspiration-based partner switching boosts cooperation in social dilemmas.
abstract: Most previous studies concerning linking dynamics often assumed that links pairing individuals should be identified and treated differently during topology adjusting procedure, in order to promote cooperation. A common assumption was that cooperators were expected to avoid being exploited by quickly breaking up relationships with defectors. Then the so-called prosocial links linking two cooperators (abbreviated as CC links hereafter) would be much favored by evolution, whereby cooperation was promoted. However, we suggest that this is not always necessary. Here, we developed a minimal model in which an aspiration-based partner switching mechanism was embedded to regulate the evolution of cooperation in social dilemmas. Individuals adjusted social ties in a self-questioning manner in line with the learning theory. Less game information was involved during dynamic linking and all links were tackled anonymously irrespective of their types (i.e., CD links, DD links, or CC links). The main results indicate that cooperation flourishes for a broad range of parameters. The denser the underlying network, the more difficult the evolution of cooperation. More importantly, moderate aspirations do much better in promoting the evolution of altruistic behavior and for most cases there exists the optimal aspiration level that most benefits cooperation. Too strong or too weak selection intensity turns out to be pretty conducive to the evolution of cooperation in such a dynamical system.
authors.affiliation: Center for Complex Systems, Department of Automatic Control Engineering, Xidian University, Xi'an, China.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Li
authors.affiliation: Center for Complex Systems, Department of Automatic Control Engineering, Xidian University, Xi'an, China.
authors.forename: Zhihu
authors.initials: Z
authors.lastname: Yang
authors.affiliation: Center for Complex Systems, Department of Automatic Control Engineering, Xidian University, Xi'an, China.
authors.forename: Te
authors.initials: T
authors.lastname: Wu
authors.affiliation: Center for Complex Systems, Department of Automatic Control Engineering, Xidian University, Xi'an, China; Center for Systems and Control, State Key Laboratory for Turbulence and Complex Systems, College of Engineering, Peking University, Beijing, China.
authors.forename: Long
authors.initials: L
authors.lastname: Wang
mesh_terms: D000533:Altruism; D003299:Cooperative Behavior; D006801:Humans; D007398:Interpersonal Relations; D008960:Models, Psychological; D012919:Social Behavior