Intention Reconsideration like uncertain dichotomous choice model

Autores
Sosa Toranzo, Cecilia; Errecalde, Marcelo Luis; Ferretti, Edgardo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
A key issue in the design of Belief-Desires-Intentions (BDI) agents is that of fnding an appropriate strategy for Intention Reconsider- ation (IR). Traditional approaches to IR defi nes the policy in the agent's design stage, which makes impossible to modify it in execution time. This is clearly not a practical solution for agents operating in dynamic and changing environments. Besides, IR typically involves considering multi- ple criteria. That is why, in this work, we propose a novel approach to IR based on a dichotomous choice model. This approach allows changing commitments to intentions depending on how the environment evolves and involves multi-criteria aggregation for IR.
Eje: XV Workshop de Agentes y Sistemas Inteligentes
Red de Universidades con Carreras de Informática (RedUNCI)
Materia
Ciencias Informáticas
intention reconsideration
BDI architecture
dichotomous choise
voting
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:10915/42401
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/42401
network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling Intention Reconsideration like uncertain dichotomous choice modelSosa Toranzo, CeciliaErrecalde, Marcelo LuisFerretti, EdgardoCiencias Informáticasintention reconsiderationBDI architecturedichotomous choisevotingA key issue in the design of Belief-Desires-Intentions (BDI) agents is that of fnding an appropriate strategy for Intention Reconsider- ation (IR). Traditional approaches to IR defi nes the policy in the agent's design stage, which makes impossible to modify it in execution time. This is clearly not a practical solution for agents operating in dynamic and changing environments. Besides, IR typically involves considering multi- ple criteria. That is why, in this work, we propose a novel approach to IR based on a dichotomous choice model. This approach allows changing commitments to intentions depending on how the environment evolves and involves multi-criteria aggregation for IR.Eje: XV Workshop de Agentes y Sistemas InteligentesRed de Universidades con Carreras de Informática (RedUNCI)2014-10info: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/10915/42401enginfo: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:UNLP2025-10-15T10:53:58Zoai:sedici.unlp.edu.ar:10915/42401Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:53:58.381SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Intention Reconsideration like uncertain dichotomous choice model
title Intention Reconsideration like uncertain dichotomous choice model
spellingShingle Intention Reconsideration like uncertain dichotomous choice model
Sosa Toranzo, Cecilia
Ciencias Informáticas
intention reconsideration
BDI architecture
dichotomous choise
voting
title_short Intention Reconsideration like uncertain dichotomous choice model
title_full Intention Reconsideration like uncertain dichotomous choice model
title_fullStr Intention Reconsideration like uncertain dichotomous choice model
title_full_unstemmed Intention Reconsideration like uncertain dichotomous choice model
title_sort Intention Reconsideration like uncertain dichotomous choice model
dc.creator.none.fl_str_mv Sosa Toranzo, Cecilia
Errecalde, Marcelo Luis
Ferretti, Edgardo
author Sosa Toranzo, Cecilia
author_facet Sosa Toranzo, Cecilia
Errecalde, Marcelo Luis
Ferretti, Edgardo
author_role author
author2 Errecalde, Marcelo Luis
Ferretti, Edgardo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
intention reconsideration
BDI architecture
dichotomous choise
voting
topic Ciencias Informáticas
intention reconsideration
BDI architecture
dichotomous choise
voting
dc.description.none.fl_txt_mv A key issue in the design of Belief-Desires-Intentions (BDI) agents is that of fnding an appropriate strategy for Intention Reconsider- ation (IR). Traditional approaches to IR defi nes the policy in the agent's design stage, which makes impossible to modify it in execution time. This is clearly not a practical solution for agents operating in dynamic and changing environments. Besides, IR typically involves considering multi- ple criteria. That is why, in this work, we propose a novel approach to IR based on a dichotomous choice model. This approach allows changing commitments to intentions depending on how the environment evolves and involves multi-criteria aggregation for IR.
Eje: XV Workshop de Agentes y Sistemas Inteligentes
Red de Universidades con Carreras de Informática (RedUNCI)
description A key issue in the design of Belief-Desires-Intentions (BDI) agents is that of fnding an appropriate strategy for Intention Reconsider- ation (IR). Traditional approaches to IR defi nes the policy in the agent's design stage, which makes impossible to modify it in execution time. This is clearly not a practical solution for agents operating in dynamic and changing environments. Besides, IR typically involves considering multi- ple criteria. That is why, in this work, we propose a novel approach to IR based on a dichotomous choice model. This approach allows changing commitments to intentions depending on how the environment evolves and involves multi-criteria aggregation for IR.
publishDate 2014
dc.date.none.fl_str_mv 2014-10
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/10915/42401
url http://sedici.unlp.edu.ar/handle/10915/42401
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
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
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reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.22299

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