FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems

Autores
Pérez Santángelo, Hugo
Año de publicación
2003
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
The agents metaphor, expressed theoretically in the Distributed Artificial Intelligence field of Multi-Agent Systems, has been awakening the interest of the commercial software companies, because new emergent technologies like e-commerce follow the same metaphor from the consumer's perspective. Researchers in that field has been developing useful models that can be used to construct commercial servers, but the computational complexity problem and the lack of general models and architectures, sometimes make the technological transfer between researchers and commercial companies impracticable. State of the art is to put the focus on ontologies in order to create more general business models, but there are some software engineering issues related to the software construction that ontology does not cover. This paper offers a proposed solution to that problem, including conceptual aspects, and necessaries methods to model commercial Multi-Agent Systems, using fuzzy logic and evolutionary algorithms.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Multi-Agent Systems
Ontologies
Fuzzy Logic
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/185208
Acceder
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network_name_str SEDICI (UNLP)
spelling FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent SystemsPérez Santángelo, HugoCiencias InformáticasMulti-Agent SystemsOntologiesFuzzy LogicThe agents metaphor, expressed theoretically in the Distributed Artificial Intelligence field of Multi-Agent Systems, has been awakening the interest of the commercial software companies, because new emergent technologies like e-commerce follow the same metaphor from the consumer's perspective. Researchers in that field has been developing useful models that can be used to construct commercial servers, but the computational complexity problem and the lack of general models and architectures, sometimes make the technological transfer between researchers and commercial companies impracticable. State of the art is to put the focus on ontologies in order to create more general business models, but there are some software engineering issues related to the software construction that ontology does not cover. This paper offers a proposed solution to that problem, including conceptual aspects, and necessaries methods to model commercial Multi-Agent Systems, using fuzzy logic and evolutionary algorithms.Sociedad Argentina de Informática e Investigación Operativa2003-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/185208enginfo:eu-repo/semantics/altIdentifier/issn/1666-1079info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2026-03-31T12:39:25Zoai:sedici.unlp.edu.ar:10915/185208Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292026-03-31 12:39:25.516SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
title FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
spellingShingle FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
Pérez Santángelo, Hugo
Ciencias Informáticas
Multi-Agent Systems
Ontologies
Fuzzy Logic
title_short FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
title_full FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
title_fullStr FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
title_full_unstemmed FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
title_sort FEMAS: An Ontology-based Broker Architecture for e-commerce Multi-Agent Systems
dc.creator.none.fl_str_mv Pérez Santángelo, Hugo
author Pérez Santángelo, Hugo
author_facet Pérez Santángelo, Hugo
author_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Multi-Agent Systems
Ontologies
Fuzzy Logic
topic Ciencias Informáticas
Multi-Agent Systems
Ontologies
Fuzzy Logic
dc.description.none.fl_txt_mv The agents metaphor, expressed theoretically in the Distributed Artificial Intelligence field of Multi-Agent Systems, has been awakening the interest of the commercial software companies, because new emergent technologies like e-commerce follow the same metaphor from the consumer's perspective. Researchers in that field has been developing useful models that can be used to construct commercial servers, but the computational complexity problem and the lack of general models and architectures, sometimes make the technological transfer between researchers and commercial companies impracticable. State of the art is to put the focus on ontologies in order to create more general business models, but there are some software engineering issues related to the software construction that ontology does not cover. This paper offers a proposed solution to that problem, including conceptual aspects, and necessaries methods to model commercial Multi-Agent Systems, using fuzzy logic and evolutionary algorithms.
Sociedad Argentina de Informática e Investigación Operativa
description The agents metaphor, expressed theoretically in the Distributed Artificial Intelligence field of Multi-Agent Systems, has been awakening the interest of the commercial software companies, because new emergent technologies like e-commerce follow the same metaphor from the consumer's perspective. Researchers in that field has been developing useful models that can be used to construct commercial servers, but the computational complexity problem and the lack of general models and architectures, sometimes make the technological transfer between researchers and commercial companies impracticable. State of the art is to put the focus on ontologies in order to create more general business models, but there are some software engineering issues related to the software construction that ontology does not cover. This paper offers a proposed solution to that problem, including conceptual aspects, and necessaries methods to model commercial Multi-Agent Systems, using fuzzy logic and evolutionary algorithms.
publishDate 2003
dc.date.none.fl_str_mv 2003-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-1079
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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