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dc.creatorEsteban Ruiz, Francisco Josées
dc.creatorGaladí García, Javier Alejandroes
dc.creatorLanga Rosado, José Antonioes
dc.creatorPortillo Fernández, José Ramónes
dc.creatorSoler Toscano, Fernandoes
dc.date.accessioned2018-10-01T08:01:32Z
dc.date.available2018-10-01T08:01:32Z
dc.date.issued2018-09-13
dc.identifier.citationEsteban Ruiz, F.J., Galadí García, J.A., Langa Rosado, J.A., Portillo Fernández, J.R. y Soler Toscano, F. (2018). Informational structures: A dynamical system approach for integrated information. PLoS Computational Biology, 14 (9), 1-33.
dc.identifier.issn1553-734Xes
dc.identifier.issn1553-7358es
dc.identifier.urihttps://hdl.handle.net/11441/78913
dc.description.abstractIntegrated Information Theory (IIT) has become nowadays the most sensible general theory of consciousness. In addition to very important statements, it opens the door for an abstract (mathematical) formulation of the theory. Given a mechanism in a particular state, IIT identifies a conscious experience with a conceptual structure, an informational object which exists, is composed of identified parts, is informative, integrated and maximally irreducible. This paper introduces a space-time continuous version of the concept of integrated information. To this aim, a graph and a dynamical systems treatment is used to define, for a given mechanism in a state for which a dynamics is settled, an Informational Structure, which is associated to the global attractor at each time of the system. By definition, the informational structure determines all the past and future behavior of the system, possesses an informational nature and, moreover, enriches all the points of the phase space with cause-effect power by means of its associated Informational Field. A detailed description of its inner structure by invariants and connections between them allows to associate a transition probability matrix to each informational structure and to develop a measure for the level of integrated information of the system.es
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividades
dc.description.sponsorshipJunta de Andalucíaes
dc.description.sponsorshipFondo Europeo de Desarrollo Regionales
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherPublic Library of Sciencees
dc.relation.ispartofPLoS Computational Biology, 14 (9), 1-33.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIntegrated informationes
dc.titleInformational structures: A dynamical system approach for integrated informationes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ecuaciones Diferenciales y Análisis Numéricoes
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Filosofía y Lógica y Filosofía de la Cienciaes
dc.relation.projectIDMTM2014-61312-EXPes
dc.relation.projectIDFQM-1492es
dc.relation.projectIDMTM2015-63723-Pes
dc.relation.publisherversionhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1006154&type=printablees
dc.identifier.doi10.1371/journal.pcbi.1006154es
dc.contributor.groupUniversidad de Sevilla. FQM314: Análisis Estocástico de Sistemas Diferencialeses
dc.contributor.groupUniversidad de Sevilla. FQM164: Matemática Discreta: Teoría de Grafos y Geometría Computacionales
dc.contributor.groupUniversidad de Sevilla. HUM609: Grupo de Lógica, Lenguaje e Informaciónes
idus.format.extent33 p.es
dc.journaltitlePLoS Computational Biologyes
dc.publication.volumen14es
dc.publication.issue9es
dc.publication.initialPage1es
dc.publication.endPage33es

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