Literature DB >> 21354430

Coveting thy neighbors fitness as a means to resolve social dilemmas.

Zhen Wang1, Aleksandra Murks, Wen-Bo Du, Zhi-Hai Rong, Matjaž Perc.   

Abstract

In spatial evolutionary games the fitness of each individual is traditionally determined by the payoffs it obtains upon playing the game with its neighbors. Since defection yields the highest individual benefits, the outlook for cooperators is gloomy. While network reciprocity promotes collaborative efforts, chances of averting the impending social decline are slim if the temptation to defect is strong. It is, therefore, of interest to identify viable mechanisms that provide additional support for the evolution of cooperation. Inspired by the fact that the environment may be just as important as inheritance for individual development, we introduce a simple switch that allows a player to either keep its original payoff or use the average payoff of all its neighbors. Depending on which payoff is higher, the influence of either option can be tuned by means of a single parameter. We show that, in general, taking into account the environment promotes cooperation. Yet coveting the fitness of one's neighbors too strongly is not optimal. In fact, cooperation thrives best only if the influence of payoffs obtained in the traditional way is equal to that of the average payoff of the neighborhood. We present results for the prisoner's dilemma and the snowdrift game, for different levels of uncertainty governing the strategy adoption process, and for different neighborhood sizes. Our approach outlines a viable route to increased levels of cooperative behavior in structured populations, but one that requires a thoughtful implementation.
Copyright © 2011 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21354430     DOI: 10.1016/j.jtbi.2011.02.016

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


  9 in total

1.  Modeling and Computation of Transboundary Industrial Pollution with Emission Permits Trading by Stochastic Differential Game.

Authors:  Shuhua Chang; Xinyu Wang; Zheng Wang
Journal:  PLoS One       Date:  2015-09-24       Impact factor: 3.240

2.  Imperfect vaccine aggravates the long-standing dilemma of voluntary vaccination.

Authors:  Bin Wu; Feng Fu; Long Wang
Journal:  PLoS One       Date:  2011-06-08       Impact factor: 3.240

3.  Modelling and computation in the valuation of carbon derivatives with stochastic convenience yields.

Authors:  Shuhua Chang; Xinyu Wang
Journal:  PLoS One       Date:  2015-05-26       Impact factor: 3.240

4.  Stochastic heterogeneous interaction promotes cooperation in spatial prisoner's dilemma game.

Authors:  Ping Zhu; Guiyi Wei
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

5.  Swarm intelligence inspired shills and the evolution of cooperation.

Authors:  Haibin Duan; Changhao Sun
Journal:  Sci Rep       Date:  2014-06-09       Impact factor: 4.379

6.  Benevolent characteristics promote cooperative behaviour among humans.

Authors:  Valerio Capraro; Conor Smyth; Kalliopi Mylona; Graham A Niblo
Journal:  PLoS One       Date:  2014-08-20       Impact factor: 3.240

7.  Effect of heterogeneous investments on the evolution of cooperation in spatial public goods game.

Authors:  Keke Huang; Tao Wang; Yuan Cheng; Xiaoping Zheng
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

8.  Network growth models: A behavioural basis for attachment proportional to fitness.

Authors:  Michael Bell; Supun Perera; Mahendrarajah Piraveenan; Michiel Bliemer; Tanya Latty; Chris Reid
Journal:  Sci Rep       Date:  2017-02-13       Impact factor: 4.379

9.  Effect of initial fraction of cooperators on cooperative behavior in evolutionary prisoner's dilemma game.

Authors:  Keizo Shigaki; Zhen Wang; Jun Tanimoto; Eriko Fukuda
Journal:  PLoS One       Date:  2013-11-07       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.