Enhanced cooperation and harmonious population in an evolutionary N-person snowdrift game
M. Ji,
C. Xu,
Da-Fang Zheng and
P.M. Hui
Physica A: Statistical Mechanics and its Applications, 2010, vol. 389, issue 5, 1071-1076
Abstract:
The N-person evolutionary snowdrift game (NESG) is generalized to study the effects of the additional benefit to all agents in a competing group of size N resulting from an earlier completion of a task when more agents are willing to share the work. Following replicator dynamics, an equation that can be used to solve for the steady state frequency of cooperation x∗ in a well-mixed population as a function of the parameters representing the cost-to-benefit ratio c/b, additional reward w/b, and N is derived. Cooperation is enhanced in general for w≠0 and a stable state with all cooperative agents (AllC state) emerges for small groups N and small c/b. In contrast, such a harmonious AllC state does not exist in the original NESG for c≠0. The condition for the existence of an AllC state is estimated to be (N−1)cKeywords: N-person snowdrift game; Evolutionary system; Replicator dynamics (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437109009273
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
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:phsmap:v:389:y:2010:i:5:p:1071-1076
DOI: 10.1016/j.physa.2009.11.017
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().