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

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dc.contributor.authorSantos, Fernando P.por
dc.contributor.authorEncarnacao, Sarapor
dc.contributor.authorSantos, Francisco C.por
dc.contributor.authorPortugali, Juvalpor
dc.contributor.authorPacheco, Jorge Manuel Santospor
dc.date.accessioned2017-11-29T22:12:11Z-
dc.date.issued2016-04-
dc.identifier.issn1099-4300por
dc.identifier.urihttp://hdl.handle.net/1822/47891-
dc.description.abstractCoordination 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.por
dc.description.sponsorshipWe thank Hermann Haken for valuable suggestions. This research was supported and carried out in the framework of the projects: (1) Diffusion of Mass E-Mobility and Integrating Renewable Energy in Smart Grids and Cities: Intelligent Agents for Efficient Energy Consumption, funded by the Israeli Ministry of Energy and Water (SE and JP); and (2) by Fundacao para a Ciencia e Tecnologia (FCT) through project grants SFRH/BD/94736/2013 (FPS), PTDC/EEI-SII/5081/2014 (SE, FPS, FCS, JMP), PTDC/MAT/STA/3358/2014 (SE, FPS, FCS, JMP) and by multi-annual funding of CBMA, INESC-ID and CICS.NOVA (under the projects UID/BIA/04050/2013, UID/CEC/50021/2013 and UID/SOC/04647/2013) also provided by FCT.por
dc.language.isoengpor
dc.publisherMDPIpor
dc.relationSFRH/BD/94736/2013por
dc.relationPTDC/EEI-SII/5081/2014por
dc.relationPTDC/MAT/STA/3358/2014por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147364/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147282/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147304/PTpor
dc.rightsopenAccesspor
dc.subjectcoordination gamespor
dc.subjectevolutionary game theorypor
dc.subjectmultiple sectorspor
dc.subjectsocial dynamicspor
dc.titleAn evolutionary game theoretic approach to multi-sector coordination and self-organizationpor
dc.typearticle-
dc.peerreviewedyespor
oaire.citationIssue4por
oaire.citationVolume18por
dc.date.updated2017-11-29T21:56:31Z-
dc.identifier.doi10.3390/e18040152por
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
dc.subject.wosScience & Technology-
sdum.export.identifier1113-
sdum.journalEntropypor
Appears in Collections:DBio - Artigos/Papers
DMA - Artigos (Papers)

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