Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/72741
DC FieldValueLanguage
dc.contributor.authorSuárez Araujo, Carmen Pazen_US
dc.contributor.authorBarahona da Fonseca, Isabelen_US
dc.contributor.authorBarahona da Fonseca, Joséen_US
dc.contributor.authorSimões da Fonseca, J.en_US
dc.date.accessioned2020-05-22T12:28:16Z-
dc.date.available2020-05-22T12:28:16Z-
dc.date.issued2004en_US
dc.identifier.isbn0-7354-0198-5en_US
dc.identifier.issn0094-243Xen_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/72741-
dc.description.abstractA theoretical approach that aims to the identification of information processing that may be responsible for emotional dimensions of subjective experience is studied as an initial step in the construction of a neural net model of affective dimensions of psychological experiences. In this paper it is suggested that a way of orientated recombination of attributes can be present not only in the perceptive processing but also in cognitive ones. We will present an analysis of the most important emotion theories, we show their neural organization and we propose the neural computation approach as an appropriate framework for generating knowledge about the neural base of emotional experience. Finally, in this study we present a scheme corresponding to framework to design a computational neural multi-system for Emotion (CONEMSE).en_US
dc.languageengen_US
dc.relation.ispartofAIP Conference Proceedingsen_US
dc.sourceAIP Conference Proceedings [ISSN 0094-243X], v. 718, p. 465-473, (2004)en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject.otherEmotionen_US
dc.subject.otherRecombination of attributesen_US
dc.subject.otherConcept formationen_US
dc.subject.otherCns centres and processesen_US
dc.subject.otherEmotion theoriesen_US
dc.titleBeyond reason: emotionen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConference_Paperen_US
dc.relation.conference6th Interantional Conference on Computing Anticipatory Systems (CASYS 03)en_US
dc.identifier.doi10.1063/1.1787350en_US
dc.identifier.isi000223656700040-
dc.identifier.eissn1551-7616-
dc.description.lastpage473en_US
dc.description.firstpage465en_US
dc.relation.volume718en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid1776211-
dc.contributor.daisngid34890496-
dc.contributor.daisngid3590590-
dc.contributor.daisngid3450806-
dc.description.numberofpages9en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Araujo, CPS-
dc.contributor.wosstandardWOS:da Fonseca, IB-
dc.contributor.wosstandardWOS:da Fonseca, JB-
dc.contributor.wosstandardWOS:da Fonseca, JS-
dc.date.coverdate2004en_US
dc.identifier.conferenceidevents120415-
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate11-08-2003-
crisitem.event.eventsenddate16-08-2003-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptComputación inteligente, percepción y big data-
crisitem.author.deptIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.orcid0000-0002-8826-0899-
crisitem.author.parentorgIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.fullNameSuárez Araujo, Carmen Paz-
crisitem.author.departamentoInformática y Sistemas-
Appears in Collections:Actas de congresos
Show simple item record

Page view(s)

4
checked on May 23, 2020

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.