Coveting the successful neighbor promotes the cooperation for the spatial public goods game on two-layered lattices

Yingchao Zhang, Hongyun Ning, Juan Wang and Chengyi Xia

Chaos, Solitons & Fractals, 2017, vol. 105, issue C, 29-37

Abstract: In this paper, we propose a novel public goods game model with preferential learning mechanism on two-layered lattices, and two different tunable parameters w and α have been introduced into the model to denote the extent of preferential learning and coupling strength among corresponding players, respectively. Huge quantities of Monte Carlo simulations indicate that, on the one hand, the fraction of cooperators at the stationary state can be greatly enhanced if the preference parameter w > 0, but the cooperation level can be reduced if w < 0; On the other hand, the interdependency between two-layered lattices will further enrich the evolution of cooperation, and the role of promotion becomes much more obvious when coupling strength w is zero or a small positive constant; while the interdependency will play a minor role when w ≥ 1 since the preference mechanism has driven the cooperation to arrive at a very high level. All these results can help us to further analyze and understand the evolution of cooperation within many real-world systems.

Keywords: Public goods game; Preferential learning; Interdependency; Evolution of cooperation; Two-layered lattices (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077917304095
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:105:y:2017:i:c:p:29-37

DOI: 10.1016/j.chaos.2017.10.001

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. ().