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Entropy 2016, 18(4), 152; doi:10.3390/e18040152

An Evolutionary Game Theoretic Approach to Multi-Sector Coordination and Self-Organization

1
INESC-ID and Instituto Superior Técnico, Universidade de Lisboa, IST-Tagusparque, 2744-016 Porto Salvo, Portugal
2
ATP-group, P-2744-016 Porto Salvo, Portugal
3
Centro Interdisciplinar de Ciências Sociais CICS.NOVA, Faculdade de Ciências Sociais e Humanas, Universidade Nova de Lisboa (FCSH/UNL), Avenida de Berna, 26-C, 1069-061 Lisboa, Portugal
4
Environmental Simulation Laboratory (ESLab), Department of Geography and the Human Environment, Tel Aviv University, 69978 Tel Aviv, Israel
5
Centro de Biologia Molecular e Ambiental, Universidade do Minho, 4710-057 Braga, Portugal
6
Departamento de Matemática e Aplicações, Universidade do Minho, 4710-057 Braga, Portugal
*
Author to whom correspondence should be addressed.
Academic Editor: Kevin H. Knuth
Received: 20 November 2015 / Revised: 15 March 2016 / Accepted: 12 April 2016 / Published: 20 April 2016
(This article belongs to the Special Issue Information and Self-Organization)
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Abstract

Coordination games provide ubiquitous interaction paradigms to frame human behavioral features, such as information transmission, conventions and languages as well as socio-economic processes and institutions. By using a dynamical approach, such as Evolutionary Game Theory (EGT), one is able to follow, in detail, the self-organization process by which a population of individuals coordinates into a given behavior. Real socio-economic scenarios, however, often involve the interaction between multiple co-evolving sectors, with specific options of their own, that call for generalized and more sophisticated mathematical frameworks. In this paper, we explore a general EGT approach to deal with coordination dynamics in which individuals from multiple sectors interact. Starting from a two-sector, consumer/producer scenario, we investigate the effects of including a third co-evolving sector that we call public. We explore the changes in the self-organization process of all sectors, given the feedback that this new sector imparts on the other two. View Full-Text
Keywords: coordination games; evolutionary game theory; multiple sectors; social dynamics coordination games; evolutionary game theory; multiple sectors; social dynamics
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Santos, F.P.; Encarnação, S.; Santos, F.C.; Portugali, J.; Pacheco, J.M. An Evolutionary Game Theoretic Approach to Multi-Sector Coordination and Self-Organization. Entropy 2016, 18, 152.

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