Fuzzy distributed artificial intelligence systems

Detalhes bibliográficos
Autor(a) principal: Nakamiti, G. [UNESP]
Data de Publicação: 1994
Outros Autores: Freitas, R. [UNESP], Prado, J. [UNESP], Gomide, F. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/FUZZY.1994.343741
http://hdl.handle.net/11449/64523
Resumo: In 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.
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spelling Fuzzy distributed artificial intelligence systemsArtificial intelligenceComputer systemsDistributed parameter control systemsFormal logicKnowledge representationTraffic controlTraffic signalsFuzzy distributed artificial intelligence systemsFuzzy systemsTraffic light controlFuzzy setsIn 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.DEMAC/IGCE/UNESP, Rio Claro-SPDEMAC/IGCE/UNESP, Rio Claro-SPUniversidade Estadual Paulista (Unesp)Nakamiti, G. [UNESP]Freitas, R. [UNESP]Prado, J. [UNESP]Gomide, F. [UNESP]2014-05-27T11:17:58Z2014-05-27T11:17:58Z1994-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject462-467http://dx.doi.org/10.1109/FUZZY.1994.343741IEEE International Conference on Fuzzy Systems, v. 1, p. 462-467.http://hdl.handle.net/11449/6452310.1109/FUZZY.1994.343741WOS:A1994BC17S000832-s2.0-0028730128Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE International Conference on Fuzzy Systemsinfo:eu-repo/semantics/openAccess2021-10-23T21:41:22Zoai:repositorio.unesp.br:11449/64523Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:22Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Fuzzy distributed artificial intelligence systems
title Fuzzy distributed artificial intelligence systems
spellingShingle Fuzzy distributed artificial intelligence systems
Nakamiti, G. [UNESP]
Artificial intelligence
Computer systems
Distributed parameter control systems
Formal logic
Knowledge representation
Traffic control
Traffic signals
Fuzzy distributed artificial intelligence systems
Fuzzy systems
Traffic light control
Fuzzy sets
title_short Fuzzy distributed artificial intelligence systems
title_full Fuzzy distributed artificial intelligence systems
title_fullStr Fuzzy distributed artificial intelligence systems
title_full_unstemmed Fuzzy distributed artificial intelligence systems
title_sort Fuzzy distributed artificial intelligence systems
author Nakamiti, G. [UNESP]
author_facet Nakamiti, G. [UNESP]
Freitas, R. [UNESP]
Prado, J. [UNESP]
Gomide, F. [UNESP]
author_role author
author2 Freitas, R. [UNESP]
Prado, J. [UNESP]
Gomide, F. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Nakamiti, G. [UNESP]
Freitas, R. [UNESP]
Prado, J. [UNESP]
Gomide, F. [UNESP]
dc.subject.por.fl_str_mv Artificial intelligence
Computer systems
Distributed parameter control systems
Formal logic
Knowledge representation
Traffic control
Traffic signals
Fuzzy distributed artificial intelligence systems
Fuzzy systems
Traffic light control
Fuzzy sets
topic Artificial intelligence
Computer systems
Distributed parameter control systems
Formal logic
Knowledge representation
Traffic control
Traffic signals
Fuzzy distributed artificial intelligence systems
Fuzzy systems
Traffic light control
Fuzzy sets
description In 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.
publishDate 1994
dc.date.none.fl_str_mv 1994-12-01
2014-05-27T11:17:58Z
2014-05-27T11:17:58Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/FUZZY.1994.343741
IEEE International Conference on Fuzzy Systems, v. 1, p. 462-467.
http://hdl.handle.net/11449/64523
10.1109/FUZZY.1994.343741
WOS:A1994BC17S00083
2-s2.0-0028730128
url http://dx.doi.org/10.1109/FUZZY.1994.343741
http://hdl.handle.net/11449/64523
identifier_str_mv IEEE International Conference on Fuzzy Systems, v. 1, p. 462-467.
10.1109/FUZZY.1994.343741
WOS:A1994BC17S00083
2-s2.0-0028730128
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE International Conference on Fuzzy Systems
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 462-467
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799964639366217728

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