2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Evolution of prosocial punishment in unstructured and structured populations and in the presence of antisocial punishment

      research-article
      *
      PLoS ONE
      Public Library of Science

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          A large body of empirical evidence suggests that altruistic punishment abounds in human societies. Based on such evidence, it is suggested that punishment serves an important role in promoting cooperation in humans and possibly other species. However, as punishment is costly, its evolution is subject to the same problem that it tries to address. To suppress this so-called second-order free-rider problem, known theoretical models on the evolution of punishment resort to one of the few established mechanisms for the evolution of cooperation. This leaves the question of whether altruistic punishment can evolve and give rise to the evolution of cooperation in the absence of such auxiliary cooperation-favoring mechanisms unaddressed. Here, by considering a population of individuals who play a public goods game, followed by a public punishing game, introduced here, we show that altruistic punishment indeed evolves and promotes cooperation in the absence of a cooperation-favoring mechanism. In our model, the punishment pool is considered a public resource whose resources are used for punishment. We show that the evolution of a punishing institution is facilitated when resources in the punishment pool, instead of being wasted, are used to reward punishers when there is nobody to punish. Besides, we show that higher returns to the public resource or punishment pool facilitate the evolution of prosocial instead of antisocial punishment. We also show that an optimal cost of investment in the punishment pool facilitates the evolution of prosocial punishment. Finally, our analysis shows that being close to a physical phase transition facilitates the evolution of altruistic punishment.

          Related collections

          Most cited references50

          • Record: found
          • Abstract: found
          • Article: not found

          Five rules for the evolution of cooperation.

          Cooperation is needed for evolution to construct new levels of organization. Genomes, cells, multicellular organisms, social insects, and human society are all based on cooperation. Cooperation means that selfish replicators forgo some of their reproductive potential to help one another. But natural selection implies competition and therefore opposes cooperation unless a specific mechanism is at work. Here I discuss five mechanisms for the evolution of cooperation: kin selection, direct reciprocity, indirect reciprocity, network reciprocity, and group selection. For each mechanism, a simple rule is derived that specifies whether natural selection can lead to cooperation.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            The evolution of cooperation

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Human cooperation.

              Why should you help a competitor? Why should you contribute to the public good if free riders reap the benefits of your generosity? Cooperation in a competitive world is a conundrum. Natural selection opposes the evolution of cooperation unless specific mechanisms are at work. Five such mechanisms have been proposed: direct reciprocity, indirect reciprocity, spatial selection, multilevel selection, and kin selection. Here we discuss empirical evidence from laboratory experiments and field studies of human interactions for each mechanism. We also consider cooperation in one-shot, anonymous interactions for which no mechanisms are apparent. We argue that this behavior reflects the overgeneralization of cooperative strategies learned in the context of direct and indirect reciprocity: we show that automatic, intuitive responses favor cooperative strategies that reciprocate. Copyright © 2013 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2021
                6 August 2021
                : 16
                : 8
                : e0254860
                Affiliations
                [001] Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany
                Teesside University, UNITED KINGDOM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-5354-9839
                Article
                PONE-D-21-10893
                10.1371/journal.pone.0254860
                8345862
                34358254
                762d6c6d-0d3f-4551-9af5-f91e4341f3a4
                © 2021 Mohammad Salahshour

                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
                : 2 April 2021
                : 5 July 2021
                Page count
                Figures: 5, Tables: 0, Pages: 16
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100005156, Alexander von Humboldt-Stiftung;
                Award Recipient :
                The author acknowledges funding from Alexander von Humboldt Foundation in the framework of the Sofja Kovalevskaja Award endowed by the German Federal Ministry of Education and Research. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Psychology
                Behavior
                Prosocial Behavior
                Social Sciences
                Psychology
                Behavior
                Prosocial Behavior
                Biology and Life Sciences
                Neuroscience
                Cognitive Science
                Cognitive Psychology
                Social Cognition
                Prosocial Behavior
                Biology and Life Sciences
                Psychology
                Cognitive Psychology
                Social Cognition
                Prosocial Behavior
                Social Sciences
                Psychology
                Cognitive Psychology
                Social Cognition
                Prosocial Behavior
                Biology and Life Sciences
                Psychology
                Social Psychology
                Social Cognition
                Prosocial Behavior
                Social Sciences
                Psychology
                Social Psychology
                Social Cognition
                Prosocial Behavior
                Computer and Information Sciences
                Data Management
                Data Visualization
                Phase Diagrams
                Physical Sciences
                Mathematics
                Applied Mathematics
                Game Theory
                Physical Sciences
                Mathematics
                Applied Mathematics
                Game Theory
                Public Goods Game
                Biology and Life Sciences
                Evolutionary Biology
                Organismal Evolution
                Animal Evolution
                Biology and Life Sciences
                Population Biology
                Population Dynamics
                Social Sciences
                Sociology
                Social Systems
                Research and Analysis Methods
                Simulation and Modeling
                Custom metadata
                All relevant data are within the paper and its Supporting information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article