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An evolutionary game theoretic approach to multi-sector coordination and self-organization

dc.contributor.authorSantos, Fernando P.
dc.contributor.authorEncarnação, Sara
dc.contributor.authorSantos, Francisco C.
dc.contributor.authorPortugali, Juval
dc.contributor.authorPacheco, Jorge M.
dc.contributor.institutionCentro Interdisciplinar de Ciências Sociais (CICS.NOVA - NOVA FCSH)
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2017-05-30T14:13:33Z
dc.date.available2017-05-30T14:13:33Z
dc.date.issued2016-04-20
dc.descriptionUID/SOC/04647/2013
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.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent11
dc.format.extent1404462
dc.identifier.doi10.3390/e18040152
dc.identifier.issn1099-4300
dc.identifier.otherPURE: 2447937
dc.identifier.otherPURE UUID: e6604801-e239-4590-99de-cbd14e9977dc
dc.identifier.otherScopus: 84964471120
dc.identifier.urihttp://www.scopus.com/inward/record.url?scp=84964471120&partnerID=8YFLogxK
dc.identifier.urlhttps://www.scopus.com/pages/publications/84964471120
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147304/PT
dc.subjectCoordination games
dc.subjectEvolutionary game theory
dc.subjectMultiple sectors
dc.subjectSocial dynamics
dc.subjectGeneral Physics and Astronomy
dc.titleAn evolutionary game theoretic approach to multi-sector coordination and self-organizationen
dc.typejournal article
degois.publication.firstPage4
degois.publication.issue4
degois.publication.lastPage15
degois.publication.titleEntropy, Special Issue Entropy and Urban Sprawl
degois.publication.volume18
dspace.entity.typePublication
oaire.awardNumberUID/SOC/04647/2013
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FSOC%2F04647%2F2013/PT
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccess
relation.isProjectOfPublication4ed4112b-ecad-4d88-bef9-7c3f21bf1d08
relation.isProjectOfPublication.latestForDiscovery4ed4112b-ecad-4d88-bef9-7c3f21bf1d08

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