Surrounding information consideration promotes cooperation in Prisoner’s dilemma game

Gang Shu, Xia Du and Ya Li

Chaos, Solitons & Fractals, 2016, vol. 91, issue C, 689-694

Abstract: Evolutionary game theory provides a useful, integrative framework for studying the evolution of cooperation. A new strategy updating method is proposed in our model. Due to people with diversified thinking, players are divided into two categories based on their different strategy updating method: ordinary players and advanced players. The former players only consider their neighbor’s payoff and updating strategy by classical Fermi rule, while the latter players take both the neighbors’ surrounding information and payoff into account. The results show that the neighbors surrounding information consideration contributes to the evolution of cooperation and finds the fraction of cooperation grows evidently with the increase of advanced players numbers. Our model may provide a pragmatic approach to the research of cooperation in social network.

Keywords: Evolutionary game theory; Prisoner’s dilemma; Square lattice; Dempster–Shafer theory (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077916302569
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:91:y:2016:i:c:p:689-694

DOI: 10.1016/j.chaos.2016.09.004

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. ().