A methodology to engineer graded BDI agents

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 work we present a methodological framework to engineer graded BDI agent-based systems. The graded BDI agent model allows to specify an agent’s architecture able to deal with the environment uncertainty and with graded mental attitudes. We work up previous approaches on software engineering process, adapting and extending them, in order to develop agents with a more complex internal architecture.
VII Workshop de Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Intelligent agents
Frameworks
agent-based software engineering
graded BDI agents
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:10915/22624

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spelling A methodology to engineer graded BDI agentsCasali, AnaGodo, LluísSierra, CarlesCiencias InformáticasIntelligent agentsFrameworksagent-based software engineeringgraded BDI agentsIn this work we present a methodological framework to engineer graded BDI agent-based systems. The graded BDI agent model allows to specify an agent’s architecture able to deal with the environment uncertainty and with graded mental attitudes. We work up previous approaches on software engineering process, adapting and extending them, in order to develop agents with a more complex internal architecture.VII Workshop de Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI)2006-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1151-1162http://sedici.unlp.edu.ar/handle/10915/22624enginfo: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:UNLP2025-09-03T10:27:57Zoai:sedici.unlp.edu.ar:10915/22624Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:27:57.71SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv A methodology to engineer graded BDI agents
title A methodology to engineer graded BDI agents
spellingShingle A methodology to engineer graded BDI agents
Casali, Ana
Ciencias Informáticas
Intelligent agents
Frameworks
agent-based software engineering
graded BDI agents
title_short A methodology to engineer graded BDI agents
title_full A methodology to engineer graded BDI agents
title_fullStr A methodology to engineer graded BDI agents
title_full_unstemmed A methodology to engineer graded BDI agents
title_sort A methodology to engineer graded BDI agents
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
Intelligent agents
Frameworks
agent-based software engineering
graded BDI agents
topic Ciencias Informáticas
Intelligent agents
Frameworks
agent-based software engineering
graded BDI agents
dc.description.none.fl_txt_mv In this work we present a methodological framework to engineer graded BDI agent-based systems. The graded BDI agent model allows to specify an agent’s architecture able to deal with the environment uncertainty and with graded mental attitudes. We work up previous approaches on software engineering process, adapting and extending them, in order to develop agents with a more complex internal architecture.
VII Workshop de Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI)
description In this work we present a methodological framework to engineer graded BDI agent-based systems. The graded BDI agent model allows to specify an agent’s architecture able to deal with the environment uncertainty and with graded mental attitudes. We work up previous approaches on software engineering process, adapting and extending them, in order to develop agents with a more complex internal architecture.
publishDate 2006
dc.date.none.fl_str_mv 2006-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/22624
url http://sedici.unlp.edu.ar/handle/10915/22624
dc.language.none.fl_str_mv eng
language eng
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)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
1151-1162
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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