An evolutionary game theoretic approach to multi-sector coordination 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 foll...

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Bibliographic Details
Main Author: Santos, Fernando P. (author)
Other Authors: Encarnacao, Sara (author), Santos, Francisco C. (author), Portugali, Juval (author), Pacheco, Jorge Manuel Santos (author)
Format: article
Language:eng
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/1822/47891
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/47891
Description
Summary: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.