Literature DB >> 31039723

Proximity inheritance explains the evolution of cooperation under natural selection and mutation.

Shaolin Tan1.   

Abstract

In this paper, a mechanism called proximity inheritance is introduced in the birth-death process of a networked population involving the Prisoner's Dilemma game. Different from the traditional birth-death process, in the proposed model, players are distributed in a spatial space and offspring is distributed in the neighbourhood of its parents. That is, offspring inherits not only the strategy but also the proximity of its parents. In this coevolutionary game model, a cooperative neighbourhood gives more neighbouring cooperative offspring and a defective neighbourhood gives more neighbouring defective offspring, leading to positive feedback among cooperative interactions. It is shown that with the help of proximity inheritance, natural selection will favour cooperation over defection under various conditions, even in the presence of mutation. Furthermore, the coevolutionary dynamics could lead to self-organized substantial network clustering, which promotes an assortment of cooperative interactions. This study provides a new insight into the evolutionary mechanism of cooperation in the absence of social attributions such as reputation and punishment.

Entities:  

Keywords:  birth–death process; coevolution; evolution of cooperation; spatial networks

Mesh:

Year:  2019        PMID: 31039723      PMCID: PMC6532502          DOI: 10.1098/rspb.2019.0690

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  27 in total

1.  Cooperation and competition in pathogenic bacteria.

Authors:  Ashleigh S Griffin; Stuart A West; Angus Buckling
Journal:  Nature       Date:  2004-08-26       Impact factor: 49.962

2.  A theory of group selection.

Authors:  D S Wilson
Journal:  Proc Natl Acad Sci U S A       Date:  1975-01       Impact factor: 11.205

3.  Scale-free networks provide a unifying framework for the emergence of cooperation.

Authors:  F C Santos; J M Pacheco
Journal:  Phys Rev Lett       Date:  2005-08-26       Impact factor: 9.161

Review 4.  Five rules for the evolution of cooperation.

Authors:  Martin A Nowak
Journal:  Science       Date:  2006-12-08       Impact factor: 47.728

5.  The evolution of helping and harming on graphs: the return of the inclusive fitness effect.

Authors:  L Lehmann; L Keller; D J T Sumpter
Journal:  J Evol Biol       Date:  2007-11       Impact factor: 2.411

Review 6.  Evolutionary explanations for cooperation.

Authors:  Stuart A West; Ashleigh S Griffin; Andy Gardner
Journal:  Curr Biol       Date:  2007-08-21       Impact factor: 10.834

7.  Strong and consistent social bonds enhance the longevity of female baboons.

Authors:  Joan B Silk; Jacinta C Beehner; Thore J Bergman; Catherine Crockford; Anne L Engh; Liza R Moscovice; Roman M Wittig; Robert M Seyfarth; Dorothy L Cheney
Journal:  Curr Biol       Date:  2010-07-01       Impact factor: 10.834

8.  Pathways to social evolution: reciprocity, relatedness, and synergy.

Authors:  Jeremy Van Cleve; Erol Akçay
Journal:  Evolution       Date:  2014-06-03       Impact factor: 3.694

9.  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

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.