Modeling travel assistant agents: a graded BDI approach

Autores
Casali, Ana; Godo, Lluís; Sierra, Carles
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper, we use a graded BDI agent model based on multi-context systems to specify an architecture for a Travel Assistant Agent that helps a tourist to choose holiday packages. We outline the theories of the different contexts and the bridge rules and illustrate the overall reasoning process of our model.
IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 2
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Multiagent systems
Models
BDI agent model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23958

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spelling Modeling travel assistant agents: a graded BDI approachCasali, AnaGodo, LluísSierra, CarlesCiencias InformáticasMultiagent systemsModelsBDI agent modelIn this paper, we use a graded BDI agent model based on multi-context systems to specify an architecture for a Travel Assistant Agent that helps a tourist to choose holiday packages. We outline the theories of the different contexts and the bridge rules and illustrate the overall reasoning process of our model.IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 2Red de Universidades con Carreras en Informática (RedUNCI)2006-08info: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/10915/23958enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T10:48:18Zoai:sedici.unlp.edu.ar:10915/23958Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:48:19.063SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Modeling travel assistant agents: a graded BDI approach
title Modeling travel assistant agents: a graded BDI approach
spellingShingle Modeling travel assistant agents: a graded BDI approach
Casali, Ana
Ciencias Informáticas
Multiagent systems
Models
BDI agent model
title_short Modeling travel assistant agents: a graded BDI approach
title_full Modeling travel assistant agents: a graded BDI approach
title_fullStr Modeling travel assistant agents: a graded BDI approach
title_full_unstemmed Modeling travel assistant agents: a graded BDI approach
title_sort Modeling travel assistant agents: a graded BDI approach
dc.creator.none.fl_str_mv Casali, Ana
Godo, Lluís
Sierra, Carles
author Casali, Ana
author_facet Casali, Ana
Godo, Lluís
Sierra, Carles
author_role author
author2 Godo, Lluís
Sierra, Carles
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Multiagent systems
Models
BDI agent model
topic Ciencias Informáticas
Multiagent systems
Models
BDI agent model
dc.description.none.fl_txt_mv In this paper, we use a graded BDI agent model based on multi-context systems to specify an architecture for a Travel Assistant Agent that helps a tourist to choose holiday packages. We outline the theories of the different contexts and the bridge rules and illustrate the overall reasoning process of our model.
IFIP International Conference on Artificial Intelligence in Theory and Practice - Agents 2
Red de Universidades con Carreras en Informática (RedUNCI)
description In this paper, we use a graded BDI agent model based on multi-context systems to specify an architecture for a Travel Assistant Agent that helps a tourist to choose holiday packages. We outline the theories of the different contexts and the bridge rules and illustrate the overall reasoning process of our model.
publishDate 2006
dc.date.none.fl_str_mv 2006-08
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info:eu-repo/semantics/publishedVersion
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http://purl.org/coar/resource_type/c_5794
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
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