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      Beneficial laggards: multilevel selection, cooperative polymorphism and division of labour in threshold public good games

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      BMC Evolutionary Biology
      BioMed Central

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          Abstract

          Background

          The origin and stability of cooperation is a hot topic in social and behavioural sciences. A complicated conundrum exists as defectors have an advantage over cooperators, whenever cooperation is costly so consequently, not cooperating pays off. In addition, the discovery that humans and some animal populations, such as lions, are polymorphic, where cooperators and defectors stably live together -- while defectors are not being punished--, is even more puzzling. Here we offer a novel explanation based on a Threshold Public Good Game (PGG) that includes the interaction of individual and group level selection, where individuals can contribute to multiple collective actions, in our model group hunting and group defense.

          Results

          Our results show that there are polymorphic equilibria in Threshold PGGs; that multi-level selection does not select for the most cooperators per group but selects those close to the optimum number of cooperators (in terms of the Threshold PGG). In particular for medium cost values division of labour evolves within the group with regard to the two types of cooperative actions (hunting vs. defense). Moreover we show evidence that spatial population structure promotes cooperation in multiple PGGs. We also demonstrate that these results apply for a wide range of non-linear benefit function types.

          Conclusions

          We demonstrate that cooperation can be stable in Threshold PGG, even when the proportion of so called free riders is high in the population. A fundamentally new mechanism is proposed how laggards, individuals that have a high tendency to defect during one specific group action can actually contribute to the fitness of the group, by playing part in an optimal resource allocation in Threshold Public Good Games. In general, our results show that acknowledging a multilevel selection process will open up novel explanations for collective actions.

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          Most cited references55

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          Threshold Models of Collective Behavior

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            Evolutionary games and spatial chaos

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              The evolution of cooperation.

              Cooperation in organisms, whether bacteria or primates, has been a difficulty for evolutionary theory since Darwin. On the assumption that interactions between pairs of individuals occur on a probabilistic basis, a model is developed based on the concept of an evolutionarily stable strategy in the context of the Prisoner's Dilemma game. Deductions from the model, and the results of a computer tournament show how cooperation based on reciprocity can get started in an asocial world, can thrive while interacting with a wide range of other strategies, and can resist invasion once fully established. Potential applications include specific aspects of territoriality, mating, and disease.
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                Author and article information

                Journal
                BMC Evol Biol
                BMC Evolutionary Biology
                BioMed Central
                1471-2148
                2010
                2 November 2010
                : 10
                : 336
                Affiliations
                [1 ]Department of Plant Taxonomy and Ecology, Institute of Biology, Eötvös University, Pázmány Péter s. 1/c, H-1117 Budapest, Hungary
                [2 ]HAS-ELTE Research Group for Theoretical Biology and Ecology, Institute of Biology, Eötvös University and the Hungarian Academy of Sciences, Pázmány Péter s. 1/c, H-1117 Budapest, Hungary
                [3 ]Collegium Budapest, Institute for Advanced Study, Szentháromság u. 2, H-1014 Budapest, Hungary
                Article
                1471-2148-10-336
                10.1186/1471-2148-10-336
                2989973
                21044340
                c6d2f15e-6457-45ae-9d24-da052e8ae6e4
                Copyright ©2010 Boza and Számadó; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 5 August 2010
                : 2 November 2010
                Categories
                Research Article

                Evolutionary Biology
                Evolutionary Biology

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