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
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/9416
Ver los metadatos del registro completo
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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 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/9416 |
url |
http://sedici.unlp.edu.ar/handle/10915/9416 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc/3.0/ Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) |
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