Does coevolution setup promote cooperation in spatial prisoner's dilemma game?
Chen Shen,
Jun Lu and
Lei Shi
Applied Mathematics and Computation, 2016, vol. 290, issue C, 201-207
Abstract:
Understanding the emergence and maintenance of cooperative behaviors represents one of the most interesting challenges in natural and social science. A great number of studies have investigated this question via spatial reciprocity, namely, players are put on networks and obtain their payoffs by playing the game with their neighbors. It has also been verified that in networked population spatial heterogeneity and coevolution setup promote cooperation theoretically and empirically. Inspired by this well-known fact, we consider a coevolution mechanism: players not only adopts the strategy of his opponent, but also learn his opponent's ability. We find a more interesting and counterintuitive phenomenon: compared with the heterogeneity scenario, this coevolution setup does not promote the cooperation in spatial prisoner's dilemma game. With regard to this observation, we unveil that it is related with the range of distribution of individuals’ ability. The coevolution setup finally makes the individual's ability shrink towards a single value. To explore the generality of this finding, we have testified on different types of topology structure.
Keywords: Coevolution; Cooperation; Spatial prisoner's dilemma game (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300316303538
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:290:y:2016:i:c:p:201-207
DOI: 10.1016/j.amc.2016.05.044
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().