Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/47891

TitleAn evolutionary game theoretic approach to multi-sector coordination and self-organization
Author(s)Santos, Fernando P.
Encarnacao, Sara
Santos, Francisco C.
Portugali, Juval
Pacheco, Jorge Manuel Santos
Keywordscoordination games
evolutionary game theory
multiple sectors
social dynamics
Issue dateApr-2016
PublisherMDPI
JournalEntropy
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/47891
DOI10.3390/e18040152
ISSN1099-4300
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DBio - Artigos/Papers
DMA - Artigos (Papers)

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