Reputation-based coevolution of link weights promotes cooperation in spatial prisoner's dilemma game
Hao Guo,
Chen Chu,
Chen Shen and
Lei Shi
Chaos, Solitons & Fractals, 2018, vol. 109, issue C, 265-268
Abstract:
Understanding and explaining the widespread cooperative behavior in society has become one open question. Many previous studies have been investigated this issue on static and unweight network, which is inconsistent with the realistic in sometimes. Motivated by this point, we consider a new setup about reputation-based dynamical weighted network. In particular, an individual with high reputation can receive a reward and its link weight will increase, while the individual with lowest reputation will be punished. Here, we introduce a parameter δ to control the range of link weight. Through numeric simulations, we find that coevolution setup can promote the evolution of cooperation. Particular, the larger value of δ, the higher level of cooperation. For the potential reason, we find it is related to the heterogeneous distribution of link weights.
Keywords: Prisoner's dilemma game; Reputation; Link weight; Coevolution (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S096007791830095X
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:chsofr:v:109:y:2018:i:c:p:265-268
DOI: 10.1016/j.chaos.2018.02.035
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().