Coevolutionary games--a mini review
- PMID: 19837129
- DOI: 10.1016/j.biosystems.2009.10.003
Coevolutionary games--a mini review
Abstract
Prevalence of cooperation within groups of selfish individuals is puzzling in that it contradicts with the basic premise of natural selection. Favoring players with higher fitness, the latter is key for understanding the challenges faced by cooperators when competing with defectors. Evolutionary game theory provides a competent theoretical framework for addressing the subtleties of cooperation in such situations, which are known as social dilemmas. Recent advances point towards the fact that the evolution of strategies alone may be insufficient to fully exploit the benefits offered by cooperative behavior. Indeed, while spatial structure and heterogeneity, for example, have been recognized as potent promoters of cooperation, coevolutionary rules can extend the potentials of such entities further, and even more importantly, lead to the understanding of their emergence. The introduction of coevolutionary rules to evolutionary games implies, that besides the evolution of strategies, another property may simultaneously be subject to evolution as well. Coevolutionary rules may affect the interaction network, the reproduction capability of players, their reputation, mobility or age. Here we review recent works on evolutionary games incorporating coevolutionary rules, as well as give a didactic description of potential pitfalls and misconceptions associated with the subject. In addition, we briefly outline directions for future research that we feel are promising, thereby particularly focusing on dynamical effects of coevolutionary rules on the evolution of cooperation, which are still widely open to research and thus hold promise of exciting new discoveries.
Copyright (c) 2009 Elsevier Ireland Ltd. All rights reserved.
Similar articles
-
Spatial effects in social dilemmas.J Theor Biol. 2006 Jun 21;240(4):627-36. doi: 10.1016/j.jtbi.2005.10.024. Epub 2005 Dec 13. J Theor Biol. 2006. PMID: 16352316
-
The effect of dispersal and neighbourhood in games of cooperation.J Theor Biol. 2008 Jul 21;253(2):221-7. doi: 10.1016/j.jtbi.2008.02.037. Epub 2008 Mar 6. J Theor Biol. 2008. PMID: 18440558
-
Evolutionary game theory meets social science: is there a unifying rule for human cooperation?J Theor Biol. 2010 May 21;264(2):450-6. doi: 10.1016/j.jtbi.2010.02.015. Epub 2010 Feb 16. J Theor Biol. 2010. PMID: 20167223
-
Evolutionary dynamics of biological games.Science. 2004 Feb 6;303(5659):793-9. doi: 10.1126/science.1093411. Science. 2004. PMID: 14764867 Review.
-
Universal scaling for the dilemma strength in evolutionary games.Phys Life Rev. 2015 Sep;14:1-30. doi: 10.1016/j.plrev.2015.04.033. Epub 2015 May 5. Phys Life Rev. 2015. PMID: 25979121 Review.
Cited by
-
How human location-specific contact patterns impact spatial transmission between populations?Sci Rep. 2013;3:1468. doi: 10.1038/srep01468. Sci Rep. 2013. PMID: 23511929 Free PMC article.
-
Social Environment Shapes the Speed of Cooperation.Sci Rep. 2016 Jul 20;6:29622. doi: 10.1038/srep29622. Sci Rep. 2016. PMID: 27435940 Free PMC article.
-
From local to global dilemmas in social networks.PLoS One. 2012;7(2):e32114. doi: 10.1371/journal.pone.0032114. Epub 2012 Feb 21. PLoS One. 2012. PMID: 22363804 Free PMC article.
-
Evolution of cooperation driven by reputation-based migration.PLoS One. 2012;7(5):e35776. doi: 10.1371/journal.pone.0035776. Epub 2012 May 16. PLoS One. 2012. PMID: 22615739 Free PMC article.
-
How Do Spillover Effects Influence the Food Safety Strategies of Companies? New Orientation of Regulations for Food Safety.Foods. 2021 Feb 18;10(2):451. doi: 10.3390/foods10020451. Foods. 2021. PMID: 33670771 Free PMC article.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources