Literature DB >> 18440558

The effect of dispersal and neighbourhood in games of cooperation.

Szabolcs Számadó1, Ferenc Szalai, István Scheuring.   

Abstract

The prisoner's dilemma (PD) and the snowdrift (SD) games are paradigmatic tools to investigate the origin of cooperation. Whereas spatial structure (e.g. nonrandom spatial distribution of strategies) present in the spatially explicit models facilitates the emergence of cooperation in the PD game, recent investigations have suggested that spatial structure can be unfavourable for cooperation in the SD game. The frequency of cooperators in a spatially explicit SD game can be lower than it would be in an infinitely large well-mixed population. However, the source of this effect cannot be identified with certainty as spatially explicit games differ from well-mixed games in two aspects: (i) they introduce spatial correlations, (ii) and limited neighbourhood. Here we extend earlier investigations to identify the source of this effect, and thus accordingly we study a spatially explicit version of the PD and SD games with varying degrees of dispersal and neighbourhood size. It was found that dispersal favours selfish individuals in both games. We calculated the frequency of cooperators at strong dispersal limit, which in concordance with the numerical results shows that it is the short range of interactions (i.e. limited neighbourhood) and not spatial correlations that decreases the frequency of cooperators in spatially explicit models of populations. Our results demonstrate that spatial correlations are always beneficial to cooperators in both the PD and SD games. We explain the opposite effect of dispersal and neighbourhood structure, and discuss the relevance of distinguishing the two effects in general.

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Year:  2008        PMID: 18440558     DOI: 10.1016/j.jtbi.2008.02.037

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


  6 in total

1.  Cooperators Unite! Assortative linking promotes cooperation particularly for medium sized associations.

Authors:  Adám Kun; Gergely Boza; István Scheuring
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2.  Beneficial laggards: multilevel selection, cooperative polymorphism and division of labour in threshold public good games.

Authors:  Gergely Boza; Szabolcs Számadó
Journal:  BMC Evol Biol       Date:  2010-11-02       Impact factor: 3.260

3.  Movement patterns, social dynamics, and the evolution of cooperation.

Authors:  Paul E Smaldino; Jeffrey C Schank
Journal:  Theor Popul Biol       Date:  2012-08       Impact factor: 1.570

4.  The language of cooperation: reputation and honest signalling.

Authors:  S Számadó; D Balliet; F Giardini; E A Power; K Takács
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-10-04       Impact factor: 6.237

5.  Diffusive public goods and coexistence of cooperators and cheaters on a 1D lattice.

Authors:  István Scheuring
Journal:  PLoS One       Date:  2014-07-15       Impact factor: 3.240

6.  A network approach to cartel detection in public auction markets.

Authors:  Johannes Wachs; János Kertész
Journal:  Sci Rep       Date:  2019-07-25       Impact factor: 4.379

  6 in total

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