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Assortativity Evolving from Social Dilemmas

Assortativity evolving from social dilemmas
Authors: Nax, Heinrich H; Rigos, Alexandros;

Assortativity Evolving from Social Dilemmas

Abstract

Assortative mechanisms can overcome tragedies of the commons that otherwise result in dilemma situations. Assortativity criteria include various forms of kin selection, greenbeard genes, and reciprocal behaviors, usually presuming an exogenously fixed matching mechanism. Here, we endogenize the matching process with the aim of investigating how assortativity itself, jointly with cooperation, is driven by evolution. Our main finding is that full-or-null assortativities turn out to be long-run stable in most cases, independent of the relative speeds of both processes. The exact incentive structure of the underlying social dilemma matters crucially. The resulting social loss is evaluated for general classes of dilemma games, thus quantifying to what extent the tragedy of the commons may be endogenously overcome.

Countries
Switzerland, United Kingdom
Keywords

Democratic consensus, cooperation, (co)-evolution, 1100 General Agricultural and Biological Sciences, (co, 2604 Applied Mathematics, 1300 General Biochemistry, Genetics and Molecular Biology, 2400 General Immunology and Microbiology, Applications of game theory, cooperation, (co-)evolution, assortativity, democratic consensus, Humans, 2613 Statistics and Probability, Social Behavior, 10095 Institute of Sociology, Assortativity, assortativity, Evolutionary games, 300 Social sciences, sociology & anthropology, democratic consensus, (co-)evolution, Social Support, Models, Theoretical, Cooperation, )evolution, Models of societies, social and urban evolution, 2611 Modeling and Simulation

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Top 10%
Top 10%
Green
bronze