Conditions for Cooperation to be More Abundant than Defection in a Hierarchically Structured Population
Dhaker Kroumi () and
Sabin Lessard ()
Dynamic Games and Applications, 2015, vol. 5, issue 2, 239-262
Abstract:
We study conditions for weak selection to favor tit-for-tat (TFT) over AllD in a repeated Prisoner’s Dilemma game played in a finite population subdivided into three subpopulations under the assumption of cyclic dominance in asymmetric interactions. Assuming parent-independent mutation and uniform migration, we show that TFT is more abundant that AllD in the stationary state if the defection cost incurred by individuals in interaction with dominant defecting individuals exceeds some threshold value. This threshold value decreases as the number of repetitions of the game, the population size, or the mutation rate increases, but increases as the migration rate increases. The same conclusions hold in the case of linear dominance. Copyright Springer Science+Business Media New York 2015
Keywords: Evolution of cooperation; Cyclic dominance; Linear dominance; Prisoner’s Dilemma; Abundance in frequency (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1007/s13235-014-0114-2 (text/html)
Access to full text is restricted to subscribers.
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:spr:dyngam:v:5:y:2015:i:2:p:239-262
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13235
DOI: 10.1007/s13235-014-0114-2
Access Statistics for this article
Dynamic Games and Applications is currently edited by Georges Zaccour
More articles in Dynamic Games and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().