Literature DB >> 29973718

Evolution of cooperation in stochastic games.

Christian Hilbe1,2, Štěpán Šimsa3, Krishnendu Chatterjee4, Martin A Nowak5,6.   

Abstract

Social dilemmas occur when incentives for individuals are misaligned with group interests1-7. According to the 'tragedy of the commons', these misalignments can lead to overexploitation and collapse of public resources. The resulting behaviours can be analysed with the tools of game theory8. The theory of direct reciprocity9-15 suggests that repeated interactions can alleviate such dilemmas, but previous work has assumed that the public resource remains constant over time. Here we introduce the idea that the public resource is instead changeable and depends on the strategic choices of individuals. An intuitive scenario is that cooperation increases the public resource, whereas defection decreases it. Thus, cooperation allows the possibility of playing a more valuable game with higher payoffs, whereas defection leads to a less valuable game. We analyse this idea using the theory of stochastic games16-19 and evolutionary game theory. We find that the dependence of the public resource on previous interactions can greatly enhance the propensity for cooperation. For these results, the interaction between reciprocity and payoff feedback is crucial: neither repeated interactions in a constant environment nor single interactions in a changing environment yield similar cooperation rates. Our framework shows which feedbacks between exploitation and environment-either naturally occurring or designed-help to overcome social dilemmas.

Entities:  

Mesh:

Year:  2018        PMID: 29973718     DOI: 10.1038/s41586-018-0277-x

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  18 in total

1.  Indirect reciprocity with private, noisy, and incomplete information.

Authors:  Christian Hilbe; Laura Schmid; Josef Tkadlec; Krishnendu Chatterjee; Martin A Nowak
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-14       Impact factor: 11.205

2.  Learning enables adaptation in cooperation for multi-player stochastic games.

Authors:  Feng Huang; Ming Cao; Long Wang
Journal:  J R Soc Interface       Date:  2020-11-18       Impact factor: 4.118

3.  Heterogeneity in evolutionary games: an analysis of the risk perception.

Authors:  Marco A Amaral; Marco A Javarone
Journal:  Proc Math Phys Eng Sci       Date:  2020-05-13       Impact factor: 2.704

4.  Caring for the future can turn tragedy into comedy for long-term collective action under risk of collapse.

Authors:  Wolfram Barfuss; Jonathan F Donges; Vítor V Vasconcelos; Jürgen Kurths; Simon A Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-20       Impact factor: 11.205

5.  Early exclusion leads to cyclical cooperation in repeated group interactions.

Authors:  Linjie Liu; Zhilong Xiao; Xiaojie Chen; Attila Szolnoki
Journal:  J R Soc Interface       Date:  2022-03-23       Impact factor: 4.118

6.  Interaction between games give rise to the evolution of moral norms of cooperation.

Authors:  Mohammad Salahshour
Journal:  PLoS Comput Biol       Date:  2022-09-29       Impact factor: 4.779

7.  Evolution of cooperation on temporal networks.

Authors:  Aming Li; Lei Zhou; Qi Su; Sean P Cornelius; Yang-Yu Liu; Long Wang; Simon A Levin
Journal:  Nat Commun       Date:  2020-05-08       Impact factor: 14.919

8.  Knowing the past improves cooperation in the future.

Authors:  Zsuzsa Danku; Matjaž Perc; Attila Szolnoki
Journal:  Sci Rep       Date:  2019-01-22       Impact factor: 4.379

9.  Strategically influencing an uncertain future.

Authors:  Alain Govaert; Ming Cao
Journal:  Sci Rep       Date:  2020-07-22       Impact factor: 4.379

10.  Neural computations underlying strategic social decision-making in groups.

Authors:  Seongmin A Park; Mariateresa Sestito; Erie D Boorman; Jean-Claude Dreher
Journal:  Nat Commun       Date:  2019-11-21       Impact factor: 14.919

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