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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/64523
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dc.contributor.authorNakamiti, G.-
dc.contributor.authorFreitas, R.-
dc.contributor.authorPrado, J.-
dc.contributor.authorGomide, F.-
dc.date.accessioned2014-05-27T11:17:58Z-
dc.date.accessioned2016-10-25T18:13:22Z-
dc.date.available2014-05-27T11:17:58Z-
dc.date.available2016-10-25T18:13:22Z-
dc.date.issued1994-12-01-
dc.identifierhttp://dx.doi.org/10.1109/FUZZY.1994.343741-
dc.identifier.citationIEEE International Conference on Fuzzy Systems, v. 1, p. 462-467.-
dc.identifier.urihttp://hdl.handle.net/11449/64523-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/64523-
dc.description.abstractIn this paper, we introduce a DAI approach called hereinafter Fuzzy Distributed Artificial Intelligence (FDAI). Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve current DAI systems, giving much more flexibility and providing the subsidies which a formal theory can bring. The appropriateness of the FDAI approach is explored in an important application, a fuzzy distributed traffic-light control system, where we have been able to aggregate and study several issues concerned with fuzzy and distributed artificial intelligence. We also present a number of current research directions necessary to develop the FDAI approach more fully.en
dc.format.extent462-467-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectArtificial intelligence-
dc.subjectComputer systems-
dc.subjectDistributed parameter control systems-
dc.subjectFormal logic-
dc.subjectKnowledge representation-
dc.subjectTraffic control-
dc.subjectTraffic signals-
dc.subjectFuzzy distributed artificial intelligence systems-
dc.subjectFuzzy systems-
dc.subjectTraffic light control-
dc.subjectFuzzy sets-
dc.titleFuzzy distributed artificial intelligence systemsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationDEMAC/IGCE/UNESP, Rio Claro-SP-
dc.description.affiliationUnespDEMAC/IGCE/UNESP, Rio Claro-SP-
dc.identifier.doi10.1109/FUZZY.1994.343741-
dc.identifier.wosWOS:A1994BC17S00083-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofIEEE International Conference on Fuzzy Systems-
dc.identifier.scopus2-s2.0-0028730128-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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