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      Evolution of cooperation in evolutionary games for Sanitation Boards

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          Abstract

          In a group of individuals that come together to produce a good or provide a service, the cooperators (who pay to produce the good) are often exploited by those who receive the bene t without paying the cost. Models were developed over time using incentives (reward or punishment) and the option of abandoning the initiative to promote and stabilize the cooperation. In this paper we analyze several models based on the evolutionary game theory and public good games. We compare and organize them in a taxonomic table following their main characteristics to select the most suitable for a speci c problem. The analyzed models are compared by using a public good problem in community projects for water supply. We have reasonable assurance that phenomena that appear on mod-els also occurs in these community projects. Therefore, we propose that evolutionary game theory can be a useful tool for policy-makers in order to improve cooperation and discourage defection in sanitation boards

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          Most cited references41

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          Volunteering as Red Queen mechanism for cooperation in public goods games.

          The evolution of cooperation among nonrelated individuals is one of the fundamental problems in biology and social sciences. Reciprocal altruism fails to provide a solution if interactions are not repeated often enough or groups are too large. Punishment and reward can be very effective but require that defectors can be traced and identified. Here we present a simple but effective mechanism operating under full anonymity. Optional participation can foil exploiters and overcome the social dilemma. In voluntary public goods interactions, cooperators and defectors will coexist. We show that this result holds under very diverse assumptions on population structure and adaptation mechanisms, leading usually not to an equilibrium but to an unending cycle of adjustments (a Red Queen type of evolution). Thus, voluntary participation offers an escape hatch out of some social traps. Cooperation can subsist in sizable groups even if interactions are not repeated, defectors remain anonymous, players have no memory, and assortment is purely random.
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            Black Psychologists' Association makes proposals to APA.

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              Altruistic punishment and the origin of cooperation.

              J H Fowler (2005)
              How did human cooperation evolve? Recent evidence shows that many people are willing to engage in altruistic punishment, voluntarily paying a cost to punish noncooperators. Although this behavior helps to explain how cooperation can persist, it creates an important puzzle. If altruistic punishment provides benefits to nonpunishers and is costly to punishers, then how could it evolve? Drawing on recent insights from voluntary public goods games, I present a simple evolutionary model in which altruistic punishers can enter and will always come to dominate a population of contributors, defectors, and nonparticipants. The model suggests that the cycle of strategies in voluntary public goods games does not persist in the presence of punishment strategies. It also suggests that punishment can only enforce payoff-improving strategies, contrary to a widely cited "folk theorem" result that suggests that punishment can allow the evolution of any strategy.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                cleiej
                CLEI Electronic Journal
                CLEIej
                Centro Latinoamericano de Estudios en Informática (Montevideo )
                0717-5000
                August 2014
                : 17
                : 2
                : 7
                Affiliations
                [1 ] National University of Asuncion Paraguay
                Article
                S0717-50002014000200007
                471eced2-d8bf-4443-8e9d-ba84028e7de5

                http://creativecommons.org/licenses/by/4.0/

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                SciELO Uruguay

                Self URI (journal page): http://www.scielo.edu.uy/scielo.php?script=sci_serial&pid=0717-5000&lng=en
                Categories
                COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
                COMPUTER SCIENCE, CYBERNETICS
                COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
                COMPUTER SCIENCE, INFORMATION SYSTEMS
                COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
                COMPUTER SCIENCE, SOFTWARE ENGINEERING
                COMPUTER SCIENCE, THEORY & METHODS
                ENGINEERING, ELECTRICAL & ELECTRONIC

                Software engineering,Theoretical computer science,Robotics,Information systems & theory,Artificial intelligence,Electrical engineering,General computer science,Hardware architecture
                Evolutionary game theory,evolution of cooperation,public good game,sanitation board

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