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      Onymity promotes cooperation in social dilemma experiments

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          Abstract

          Researchers test whether and how onymity, as opposed to anonymity, promotes cooperation in a social dilemma experiment.

          Abstract

          One of the most elusive scientific challenges for over 150 years has been to explain why cooperation survives despite being a seemingly inferior strategy from an evolutionary point of view. Over the years, various theoretical scenarios aimed at solving the evolutionary puzzle of cooperation have been proposed, eventually identifying several cooperation-promoting mechanisms: kin selection, direct reciprocity, indirect reciprocity, network reciprocity, and group selection. We report the results of repeated Prisoner’s Dilemma experiments with anonymous and onymous pairwise interactions among individuals. We find that onymity significantly increases the frequency of cooperation and the median payoff per round relative to anonymity. Furthermore, we also show that the correlation between players’ ranks and the usage of strategies (cooperation, defection, or punishment) underwent a fundamental shift, whereby more prosocial actions are rewarded with a better ranking under onymity. Our findings prove that reducing anonymity is a valid promoter of cooperation, leading to higher payoffs for cooperators and thus suppressing an incentive—anonymity—that would ultimately favor defection.

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          Most cited references40

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          Evolutionary games and spatial chaos

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            A simple rule for the evolution of cooperation on graphs and social networks.

            A fundamental aspect of all biological systems is cooperation. Cooperative interactions are required for many levels of biological organization ranging from single cells to groups of animals. Human society is based to a large extent on mechanisms that promote cooperation. It is well known that in unstructured populations, natural selection favours defectors over cooperators. There is much current interest, however, in studying evolutionary games in structured populations and on graphs. These efforts recognize the fact that who-meets-whom is not random, but determined by spatial relationships or social networks. Here we describe a surprisingly simple rule that is a good approximation for all graphs that we have analysed, including cycles, spatial lattices, random regular graphs, random graphs and scale-free networks: natural selection favours cooperation, if the benefit of the altruistic act, b, divided by the cost, c, exceeds the average number of neighbours, k, which means b/c > k. In this case, cooperation can evolve as a consequence of 'social viscosity' even in the absence of reputation effects or strategic complexity.
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              Scale-Free Networks Provide a Unifying Framework for the Emergence of Cooperation

              We study the evolution of cooperation in the framework of evolutionary game theory, adopting the prisoner's dilemma and snowdrift game as metaphors of cooperation between unrelated individuals. In sharp contrast with previous results we find that, whenever individuals interact following networks of contacts generated via growth and preferential attachment, leading to strong correlations between individuals, cooperation becomes the dominating trait throughout the entire range of parameters of both games, as such providing a unifying framework for the emergence of cooperation. Such emergence is shown to be inhibited whenever the correlations between individuals are decreased or removed. These results are shown to apply from very large population sizes down to small communities with nearly 100 individuals.
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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                March 2017
                29 March 2017
                : 3
                : 3
                : e1601444
                Affiliations
                [1 ]Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi’an 710072, China.
                [2 ]Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka 816-8580, Japan.
                [3 ]Research Center of Mathematics for Social Creativity, Hokkaido University, Sapporo 060-0812, Japan.
                [4 ]Center for Ecology and Environmental Sciences, Northwestern Polytechnical University, Xi’an 710072, China.
                [5 ]State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
                [6 ]School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming 650221, China.
                [7 ]Faculty of Science, Kyushu University, Fukuoka 819-0395, Japan.
                [8 ]Institute for Biocomputation and Physics of Complex Systems (BIFI), University of Zaragoza, 50009 Zaragoza, Spain.
                [9 ]Department of Theoretical Physics, University of Zaragoza, 50009 Zaragoza, Spain.
                [10 ]Institute for Scientific Interchange (ISI), ISI Foundation, 10126 Turin, Italy.
                [11 ]Potsdam Institute for Climate Impact Research (PIK), 14473 Potsdam, Germany.
                [12 ]Department of Physics, Humboldt University, 12489 Berlin, Germany.
                [13 ]Institute for Complex Systems and Mathematical Biology, University of Aberdeen, Aberdeen AB24 3UE, U.K.
                Author notes
                [* ]Corresponding author. Email: lshi@ 123456ynufe.edu.cn (L.S.); wangrw@ 123456mail.kiz.ac.cn (R.-W.W.); mjusup@ 123456gmail.com (M.J.)
                Author information
                http://orcid.org/0000-0002-0777-0425
                http://orcid.org/0000-0003-0691-1852
                Article
                1601444
                10.1126/sciadv.1601444
                5371422
                28435860
                080e5fbb-289c-4d31-bfc5-f9c17025f632
                Copyright © 2017, The Authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 June 2016
                : 10 February 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: ID0EM3DI15622
                Award ID: 11671348, 31170408, 31270433, 31300318, 71161020
                Award Recipient :
                Funded by: National Science Fund for Distinguished Young Scholars;
                Award ID: ID0E43DI15623
                Award ID: 31325005
                Award Recipient :
                Funded by: National Science Foundation of China--Yunnan Joint Fund;
                Award ID: ID0EM4DI15624
                Award ID: U1302267
                Award Recipient :
                Funded by: West Light Foundation of the Chinese Academy of Sciences;
                Award ID: ID0E24DI15625
                Award Recipient :
                Funded by: Special Fund for the Excellent Youth of the Chinese Academy of Sciences;
                Award ID: ID0EI5DI15626
                Award ID: KSCX2-EW-Q-9
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100002241, Japan Science and Technology Agency;
                Award ID: ID0EX5DI15627
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: ID0EG6DI15628
                Award ID: 24370011
                Award Recipient :
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Social Sciences
                Custom metadata
                Justin Noriel

                evolutionary game theory,human behavior,prisoner’s dilemma,defection,punishment,reciprocity

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