Literature DB >> 18068731

Spatial invasion of cooperation.

Philipp Langer1, Martin A Nowak, Christoph Hauert.   

Abstract

The evolutionary puzzle of cooperation describes situations where cooperators provide a fitness benefit to other individuals at some cost to themselves. Under Darwinian selection, the evolution of cooperation is a conundrum, whereas non-cooperation (or defection) is not. In the absence of supporting mechanisms, cooperators perform poorly and decrease in abundance. Evolutionary game theory provides a powerful mathematical framework to address the problem of cooperation using the prisoner's dilemma. One well-studied possibility to maintain cooperation is to consider structured populations, where each individual interacts only with a limited subset of the population. This enables cooperators to form clusters such that they are more likely to interact with other cooperators instead of being exploited by defectors. Here we present a detailed analysis of how a few cooperators invade and expand in a world of defectors. If the invasion succeeds, the expansion process takes place in two stages: first, cooperators and defectors quickly establish a local equilibrium and then they uniformly expand in space. The second stage provides good estimates for the global equilibrium frequencies of cooperators and defectors. Under hospitable conditions, cooperators typically form a single, ever growing cluster interspersed with specks of defectors, whereas under more hostile conditions, cooperators form isolated, compact clusters that minimize exploitation by defectors. We provide the first quantitative assessment of the way cooperators arrange in space during invasion and find that the macroscopic properties and the emerging spatial patterns reveal information about the characteristics of the underlying microscopic interactions.

Entities:  

Mesh:

Year:  2007        PMID: 18068731      PMCID: PMC2289997          DOI: 10.1016/j.jtbi.2007.11.002

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  27 in total

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Authors:  Christoph Hauert; Michael Doebeli
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Journal:  Nature       Date:  2006-05-25       Impact factor: 49.962

7.  Stochasticity and evolutionary stability.

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Journal:  J Theor Biol       Date:  2007-01-11       Impact factor: 2.691

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Journal:  J Theor Biol       Date:  1964-07       Impact factor: 2.691

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  24 in total

1.  Invasion and expansion of cooperators in lattice populations: prisoner's dilemma vs. snowdrift games.

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Journal:  J Theor Biol       Date:  2010-07-07       Impact factor: 2.691

2.  Heterogeneous networks do not promote cooperation when humans play a Prisoner's Dilemma.

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Journal:  Theory Biosci       Date:  2019-03-21       Impact factor: 1.919

5.  Conditional cooperation can hinder network reciprocity.

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Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-27       Impact factor: 11.205

6.  Overestimating resource value and its effects on fighting decisions.

Authors:  Lee Alan Dugatkin; Aaron David Dugatkin
Journal:  PLoS One       Date:  2011-05-13       Impact factor: 3.240

7.  Reputation-based partner choice promotes cooperation in social networks.

Authors:  Feng Fu; Christoph Hauert; Martin A Nowak; Long Wang
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-08-22

8.  Spectral analysis of transient amplifiers for death-birth updating constructed from regular graphs.

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Journal:  J Math Biol       Date:  2021-05-16       Impact factor: 2.259

9.  Social experiments in the mesoscale: humans playing a spatial prisoner's dilemma.

Authors:  Jelena Grujić; Constanza Fosco; Lourdes Araujo; José A Cuesta; Angel Sánchez
Journal:  PLoS One       Date:  2010-11-12       Impact factor: 3.240

10.  Strict or graduated punishment? Effect of punishment strictness on the evolution of cooperation in continuous public goods games.

Authors:  Hajime Shimao; Mayuko Nakamaru
Journal:  PLoS One       Date:  2013-03-28       Impact factor: 3.240

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