The agent routering process of a dynamic distributed decision support system

Autores
Stegmayer Machado, Georgina S.; Taverna, María Laura; Chiotti, Omar Juan Alfredo; Galli, María Rosa
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
When certain enterprise domain needs to make an unusual decision, it will probably require new kind of information. If the interaction model among domains cannot be defined because the decision scenarios are unpredictable, the system itself must search the required information analyzing where it is available, or can be generated. To do that, it is necessary to design a mechanism able to decide where to look for the information.We have developed a distributed DSS able to work in a dynamic way. This system is based on the use of mobile agents, which receive the user´s queries and visit the DSS domains gathering the required information. One of the main elements to the efficient operation of this system is the Router Agent. Its responsibility is to give an adequate route to the mobile agents. In this paper we propose a structure for the Router Agent. It includes a Knowledge Base where the information managed by each domain is represented, and a mechanism to compare the query content with the domain representation. We also present an interactive strategy to obtain the initial data to be stored in the Router Knowledge Base. The AHP method is used to support the task of evaluating the relative importance among terms representing each domain.
Facultad de Informática
Materia
Ciencias Informáticas
Distributed Systems
Intelligent agents
Information Search and Retrieval
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/9416

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spelling The agent routering process of a dynamic distributed decision support systemStegmayer Machado, Georgina S.Taverna, María LauraChiotti, Omar Juan AlfredoGalli, María RosaCiencias InformáticasDistributed SystemsIntelligent agentsInformation Search and RetrievalWhen certain enterprise domain needs to make an unusual decision, it will probably require new kind of information. If the interaction model among domains cannot be defined because the decision scenarios are unpredictable, the system itself must search the required information analyzing where it is available, or can be generated. To do that, it is necessary to design a mechanism able to decide where to look for the information.We have developed a distributed DSS able to work in a dynamic way. This system is based on the use of mobile agents, which receive the user´s queries and visit the DSS domains gathering the required information. One of the main elements to the efficient operation of this system is the Router Agent. Its responsibility is to give an adequate route to the mobile agents. In this paper we propose a structure for the Router Agent. It includes a Knowledge Base where the information managed by each domain is represented, and a mechanism to compare the query content with the domain representation. We also present an interactive strategy to obtain the initial data to be stored in the Router Knowledge Base. The AHP method is used to support the task of evaluating the relative importance among terms representing each domain.Facultad de Informática2001info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/9416enginfo:eu-repo/semantics/altIdentifier/url/http://journal.info.unlp.edu.ar/wp-content/uploads/p2.pdfinfo:eu-repo/semantics/altIdentifier/issn/1666-6038info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/3.0/Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:23:30Zoai:sedici.unlp.edu.ar:10915/9416Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:23:30.745SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv The agent routering process of a dynamic distributed decision support system
title The agent routering process of a dynamic distributed decision support system
spellingShingle The agent routering process of a dynamic distributed decision support system
Stegmayer Machado, Georgina S.
Ciencias Informáticas
Distributed Systems
Intelligent agents
Information Search and Retrieval
title_short The agent routering process of a dynamic distributed decision support system
title_full The agent routering process of a dynamic distributed decision support system
title_fullStr The agent routering process of a dynamic distributed decision support system
title_full_unstemmed The agent routering process of a dynamic distributed decision support system
title_sort The agent routering process of a dynamic distributed decision support system
dc.creator.none.fl_str_mv Stegmayer Machado, Georgina S.
Taverna, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author Stegmayer Machado, Georgina S.
author_facet Stegmayer Machado, Georgina S.
Taverna, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author_role author
author2 Taverna, María Laura
Chiotti, Omar Juan Alfredo
Galli, María Rosa
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Distributed Systems
Intelligent agents
Information Search and Retrieval
topic Ciencias Informáticas
Distributed Systems
Intelligent agents
Information Search and Retrieval
dc.description.none.fl_txt_mv When certain enterprise domain needs to make an unusual decision, it will probably require new kind of information. If the interaction model among domains cannot be defined because the decision scenarios are unpredictable, the system itself must search the required information analyzing where it is available, or can be generated. To do that, it is necessary to design a mechanism able to decide where to look for the information.We have developed a distributed DSS able to work in a dynamic way. This system is based on the use of mobile agents, which receive the user´s queries and visit the DSS domains gathering the required information. One of the main elements to the efficient operation of this system is the Router Agent. Its responsibility is to give an adequate route to the mobile agents. In this paper we propose a structure for the Router Agent. It includes a Knowledge Base where the information managed by each domain is represented, and a mechanism to compare the query content with the domain representation. We also present an interactive strategy to obtain the initial data to be stored in the Router Knowledge Base. The AHP method is used to support the task of evaluating the relative importance among terms representing each domain.
Facultad de Informática
description When certain enterprise domain needs to make an unusual decision, it will probably require new kind of information. If the interaction model among domains cannot be defined because the decision scenarios are unpredictable, the system itself must search the required information analyzing where it is available, or can be generated. To do that, it is necessary to design a mechanism able to decide where to look for the information.We have developed a distributed DSS able to work in a dynamic way. This system is based on the use of mobile agents, which receive the user´s queries and visit the DSS domains gathering the required information. One of the main elements to the efficient operation of this system is the Router Agent. Its responsibility is to give an adequate route to the mobile agents. In this paper we propose a structure for the Router Agent. It includes a Knowledge Base where the information managed by each domain is represented, and a mechanism to compare the query content with the domain representation. We also present an interactive strategy to obtain the initial data to be stored in the Router Knowledge Base. The AHP method is used to support the task of evaluating the relative importance among terms representing each domain.
publishDate 2001
dc.date.none.fl_str_mv 2001
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/3.0/
Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
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