Literature DB >> 19837129

Coevolutionary games--a mini review.

Matjaz Perc1, Attila Szolnoki.   

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.

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Year:  2009        PMID: 19837129     DOI: 10.1016/j.biosystems.2009.10.003

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  264 in total

1.  Antisocial pool rewarding does not deter public cooperation.

Authors:  Attila Szolnoki; Matjaž Perc
Journal:  Proc Biol Sci       Date:  2015-10-07       Impact factor: 5.349

2.  Computational complexity of ecological and evolutionary spatial dynamics.

Authors:  Rasmus Ibsen-Jensen; Krishnendu Chatterjee; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-07       Impact factor: 11.205

3.  Uncalculating cooperation is used to signal trustworthiness.

Authors:  Jillian J Jordan; Moshe Hoffman; Martin A Nowak; David G Rand
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-20       Impact factor: 11.205

4.  Robust Consensus of Networked Evolutionary Games with Attackers and Forbidden Profiles .

Authors:  Yalu Li; Xueying Ding; Haitao Li
Journal:  Entropy (Basel)       Date:  2017-12-29       Impact factor: 2.524

5.  Evolutionary prisoner's dilemma games coevolving on adaptive networks.

Authors:  Hsuan-Wei Lee; Nishant Malik; Peter J Mucha
Journal:  J Complex Netw       Date:  2017-07-07

Review 6.  The structure and dynamics of multilayer networks.

Authors:  S Boccaletti; G Bianconi; R Criado; C I Del Genio; J Gómez-Gardeñes; M Romance; I Sendiña-Nadal; Z Wang; M Zanin
Journal:  Phys Rep       Date:  2014-07-10       Impact factor: 25.600

Review 7.  Bacteria and game theory: the rise and fall of cooperation in spatially heterogeneous environments.

Authors:  Guillaume Lambert; Saurabh Vyawahare; Robert H Austin
Journal:  Interface Focus       Date:  2014-08-06       Impact factor: 3.906

8.  Evolution of cooperation on stochastic dynamical networks.

Authors:  Bin Wu; Da Zhou; Feng Fu; Qingjun Luo; Long Wang; Arne Traulsen
Journal:  PLoS One       Date:  2010-06-30       Impact factor: 3.240

9.  Evolutionary establishment of moral and double moral standards through spatial interactions.

Authors:  Dirk Helbing; Attila Szolnoki; Matjaz Perc; György Szabó
Journal:  PLoS Comput Biol       Date:  2010-04-29       Impact factor: 4.475

10.  Heterogeneous aspirations promote cooperation in the prisoner's dilemma game.

Authors:  Matjaž Perc; Zhen Wang
Journal:  PLoS One       Date:  2010-12-06       Impact factor: 3.240

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