A graded BDI agent model to represent and reason about preferences

In this research note, we introduce a graded BDI agent development framework, g-BDI for short, that allows to build agents as multi-context systems that reason about three fundamental and graded mental attitudes (i.e. beliefs, desires and intentions). We propose a sound and complete logical framewor...

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Detalhes bibliográficos
Autores: Casali, Ana, Godo, Lluis, Sierra, Carles
Tipo de documento: artigo
Data de publicação:2011
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositório:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/138176
Acesso em linha:http://hdl.handle.net/10261/138176
Access Level:Acceso aberto
Palavra-chave:BDI agents
Bipolar preferences
Multi-context systems
Uncertainty
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spelling A graded BDI agent model to represent and reason about preferencesFuzzy logicCasali, AnaGodo, LluisSierra, CarlesBDI agentsBipolar preferencesMulti-context systemsUncertaintyIn this research note, we introduce a graded BDI agent development framework, g-BDI for short, that allows to build agents as multi-context systems that reason about three fundamental and graded mental attitudes (i.e. beliefs, desires and intentions). We propose a sound and complete logical framework for them and some logical extensions to accommodate slightly different views on desires. © 2011 Elsevier B.V. All rights reserved.The authors acknowledge partial support of the Spanish project AT (Consolider CSD2007-022, Ingenio 2010)Peer ReviewedElsevierConsejo Superior de Investigaciones Científicas (España)2016201620112016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/138176reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglésinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1381762026-05-22T06:33:51Z
dc.title.none.fl_str_mv A graded BDI agent model to represent and reason about preferences
Fuzzy logic
title A graded BDI agent model to represent and reason about preferences
spellingShingle A graded BDI agent model to represent and reason about preferences
Casali, Ana
BDI agents
Bipolar preferences
Multi-context systems
Uncertainty
title_short A graded BDI agent model to represent and reason about preferences
title_full A graded BDI agent model to represent and reason about preferences
title_fullStr A graded BDI agent model to represent and reason about preferences
title_full_unstemmed A graded BDI agent model to represent and reason about preferences
title_sort A graded BDI agent model to represent and reason about preferences
dc.creator.none.fl_str_mv Casali, Ana
Godo, Lluis
Sierra, Carles
author Casali, Ana
author_facet Casali, Ana
Godo, Lluis
Sierra, Carles
author_role author
author2 Godo, Lluis
Sierra, Carles
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas (España)
dc.subject.none.fl_str_mv BDI agents
Bipolar preferences
Multi-context systems
Uncertainty
topic BDI agents
Bipolar preferences
Multi-context systems
Uncertainty
description In this research note, we introduce a graded BDI agent development framework, g-BDI for short, that allows to build agents as multi-context systems that reason about three fundamental and graded mental attitudes (i.e. beliefs, desires and intentions). We propose a sound and complete logical framework for them and some logical extensions to accommodate slightly different views on desires. © 2011 Elsevier B.V. All rights reserved.
publishDate 2011
dc.date.none.fl_str_mv 2011
2016
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/138176
url http://hdl.handle.net/10261/138176
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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