 Aspiration driven coevolution resolves social dilemmas in networksChen Liu, Juan Shi, Tong Li and Jinzhuo Liu Applied Mathematics and Computation, 2019, vol. 342, issue C, 247-254 Abstract: In realistic world, the role or influence of each individual is heterogeneous and usually varies according to surroundings. Inspired by this fact, here we study the emergence of cooperative behavior in weighted networks under the coevolution of game strategy and node weight, where the node weight is used to mimic the role or influence of subjects. In the prisoner's dilemma, if an individual's fitness exceeds the aspiration level, its weight becomes larger; otherwise weight decreases. While such an adjustment of weight is defined by the intensity parameter δ, it is interesting that there is an optimal range for δ guaranteeing the best evolution of cooperation. The facilitation of cooperative behavior mainly depends on the weight distribution of players, which is based on the formation of a cooperative cluster controlled by high-weight cooperators. These cooperators are able to prevail against defectors even when there is a large temptation to defect. Our research provides a viable route to resolve social dilemma and will inspire further applications. Keywords: Coevolution; Cooperation; Node weight; Aspiration; Heterogeneity (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:342:y:2019:i:c:p:247-254 DOI: 10.1016/j.amc.2018.09.034 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
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