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
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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
Entropy 2016, 18(4), 152; https://doi.org/10.3390/e18040152
Received: 20 November 2015
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Revised: 15 March 2016
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Accepted: 12 April 2016
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Published: 20 April 2016
(This article belongs to the Special Issue Information and Self-Organization)
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.
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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. https://doi.org/10.3390/e18040152
AMA Style
Santos FP, Encarnação S, Santos FC, Portugali J, Pacheco JM. An Evolutionary Game Theoretic Approach to Multi-Sector Coordination and Self-Organization. Entropy. 2016; 18(4):152. https://doi.org/10.3390/e18040152
Chicago/Turabian StyleSantos, Fernando P., Sara Encarnação, Francisco C. Santos, Juval Portugali, and Jorge M. Pacheco. 2016. "An Evolutionary Game Theoretic Approach to Multi-Sector Coordination and Self-Organization" Entropy 18, no. 4: 152. https://doi.org/10.3390/e18040152
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