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      Socially Enforced Nepotism: How Norms and Reputation Can Amplify Kin Altruism

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          Abstract

          Kin selection, which can lead organisms to behave altruistically to their genetic relatives, works differently when—as is often the case in human societies—altruism can be boosted by social pressure. Here I present a model of social norms enforced by indirect reciprocity. In the model there are many alternative stable allocations of rewards (“distributional norms”); a stable norm is stable in the sense that each player is best off following the norm if other players do the same. Stable norms vary widely in how equally they reward players with unequal abilities. In a population of mixed groups (some group members follow one norm, some follow another, and some compromise) with modest within-group coefficients of relatedness, selection within groups favors those who compromise, and selection between groups favors generous generalized reciprocity rather than balanced reciprocity. Thus evolved social norms can amplify kin altruism, giving rise to a uniquely human mode of kin-based sociality distinct from spontaneous altruism among close kin, or cooperation among non-kin.

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          The evolution of eusociality.

          Eusociality, in which some individuals reduce their own lifetime reproductive potential to raise the offspring of others, underlies the most advanced forms of social organization and the ecologically dominant role of social insects and humans. For the past four decades kin selection theory, based on the concept of inclusive fitness, has been the major theoretical attempt to explain the evolution of eusociality. Here we show the limitations of this approach. We argue that standard natural selection theory in the context of precise models of population structure represents a simpler and superior approach, allows the evaluation of multiple competing hypotheses, and provides an exact framework for interpreting empirical observations.
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            Group competition, reproductive leveling, and the evolution of human altruism.

            Humans behave altruistically in natural settings and experiments. A possible explanation-that groups with more altruists survive when groups compete-has long been judged untenable on empirical grounds for most species. But there have been no empirical tests of this explanation for humans. My empirical estimates show that genetic differences between early human groups are likely to have been great enough so that lethal intergroup competition could account for the evolution of altruism. Crucial to this process were distinctive human practices such as sharing food beyond the immediate family, monogamy, and other forms of reproductive leveling. These culturally transmitted practices presuppose advanced cognitive and linguistic capacities, possibly accounting for the distinctive forms of altruism found in our species.
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              Transforming the dilemma.

              How does natural selection lead to cooperation between competing individuals? The Prisoner's Dilemma captures the essence of this problem. Two players can either cooperate or defect. The payoff for mutual cooperation, R, is greater than the payoff for mutual defection, P. But a defector versus a cooperator receives the highest payoff, T, where as the cooperator obtains the lowest payoff, S. Hence, the Prisoner's Dilemma is defined by the payoff ranking T > R > P > S. In a well-mixed population, defectors always have a higher expected payoff than cooperators, and therefore natural selection favors defectors. The evolution of cooperation requires specific mechanisms. Here we discuss five mechanisms for the evolution of cooperation: direct reciprocity, indirect reciprocity, kin selection, group selection, and network reciprocity (or graph selection). Each mechanism leads to a transformation of the Prisoner's Dilemma payoff matrix. From the transformed matrices, we derive the fundamental conditions for the evolution of cooperation. The transformed matrices can be used in standard frameworks of evolutionary dynamics such as the replicator equation or stochastic processes of game dynamics in finite populations.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2016
                15 June 2016
                : 11
                : 6
                : e0155596
                Affiliations
                [001]Department of Anthropology, University of Utah, Salt Lake City, Utah, United States of America
                Tianjin University of Technology, CHINA
                Author notes

                Competing Interests: The author has declared that no competing interests exist.

                Analyzed the data: DJ. Contributed reagents/materials/analysis tools: DJ. Wrote the paper: DJ.

                Article
                PONE-D-15-49200
                10.1371/journal.pone.0155596
                4909296
                27305045
                f662cf02-81a7-45e4-a781-afa3d874a267
                © 2016 Doug Jones

                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 author and source are credited.

                History
                : 10 November 2015
                : 2 May 2016
                Page count
                Figures: 4, Tables: 1, Pages: 13
                Funding
                The author has no support or funding to report.
                Categories
                Research Article
                Biology and Life Sciences
                Behavior
                Prosocial Behavior
                Altruistic Behavior
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                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Social Cognition
                Prosocial Behavior
                Altruistic Behavior
                Biology and Life Sciences
                Psychology
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                Prosocial Behavior
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                Physical Sciences
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                Population Genetics
                Natural Selection
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                Code (Mathematica) is available at the Open Science Framework (osf.io) repository with identifiers DOI 10.17605/OSF.IO/MXZ8H / ARK c7605/osf.io/mxz8h.

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