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The Development of Cooperation in Evolving Populations through Social Importance


Abstract Several agent-based frameworks have been proposed to investigate the possible reasons that lead humans to act in the interest of others while giving up individual gains. In this paper we propose a novel framework for analyzing this phenomenon based on the notions of social importance (SI) and local discrimination. We analyze such mechanism in the context of a “favors game” where a recipient agent can “claim” a favor to a donor agent, which may in turn “confer” its request at the expense of a certain cost. We perform several agent- based simulations and study both the conditions under which cooperation occurs and the dynamics of the relationships formed within a population. The results of our study indicate that the SI mechanism can promote cooperation in populations where all individuals share a common social predisposition towards the favors game, and also in initially mixed-strategy populations evolving by means of mutation and natural selection. We also show that the framework predicts the emergence of a conservative strategy that makes individuals to be “cautious” when interacting with “acquaintances”.
Year 2015
Keywords Game Theory;Multi-Agent Societies;
Authors Pedro Sequeira, Samuel Mascarenhas, Francisco S. Melo, Ana Paiva
Booktitle Proceedings of the 5th International Conference on Development and Learning and on Epigenetic Robotics
Pages 308--313
Series ICDL-EpiRob 2015
Publisher IEEE Computer Society
Address Providence, Rhode Island
Month Aug
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@inproceedings { sequeira15, abstract = {Several agent-based frameworks have been proposed to investigate the possible reasons that lead humans to act in the interest of others while giving up individual gains. In this paper we propose a novel framework for analyzing this phenomenon based on the notions of social importance (SI) and local discrimination. We analyze such mechanism in the context of a “favors game” where a recipient agent can “claim” a favor to a donor agent, which may in turn “confer” its request at the expense of a certain cost. We perform several agent- based simulations and study both the conditions under which cooperation occurs and the dynamics of the relationships formed within a population. The results of our study indicate that the SI mechanism can promote cooperation in populations where all individuals share a common social predisposition towards the favors game, and also in initially mixed-strategy populations evolving by means of mutation and natural selection. We also show that the framework predicts the emergence of a conservative strategy that makes individuals to be “cautious” when interacting with “acquaintances”.}, address = {Providence, Rhode Island}, booktitle = {Proceedings of the 5th International Conference on Development and Learning and on Epigenetic Robotics}, keywords = {Game Theory;Multi-Agent Societies;}, month = {Aug}, pages = {308--313}, publisher = {IEEE Computer Society}, series = {ICDL-EpiRob 2015}, title = {The Development of Cooperation in Evolving Populations through Social Importance}, year = {2015}, author = {Pedro Sequeira and Samuel Mascarenhas and Francisco S. Melo and Ana Paiva} }

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