Precompiled knowledge support for dynamic argumentation

Autores
Capobianco, Marcela; Chesñevar, Carlos Iván; Simari, Guillermo Ricardo
Año de publicación
2002
Idioma
español castellano
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views. We have developed a new proposal to solve the aforementioned problem. The key to our approach consists in maintaining a module associated with the knowledge base of the system, with additional information that may help to speed up the inference process. As truth maintenance systems optimize general problem solvers, this module could play a similar role in argumentative systems.
Eje: Lógica e Inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
knowledge representation
argumentation
rational 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:10915/23111
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/23111
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Precompiled knowledge support for dynamic argumentationCapobianco, MarcelaChesñevar, Carlos IvánSimari, Guillermo RicardoCiencias InformáticasARTIFICIAL INTELLIGENCEknowledge representationargumentationrational agentsArgumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views. We have developed a new proposal to solve the aforementioned problem. The key to our approach consists in maintaining a module associated with the knowledge base of the system, with additional information that may help to speed up the inference process. As truth maintenance systems optimize general problem solvers, this module could play a similar role in argumentative systems.Eje: Lógica e Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI)2002-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf217-228http://sedici.unlp.edu.ar/handle/10915/23111spainfo: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:UNLP2025-10-15T10:47:56Zoai:sedici.unlp.edu.ar:10915/23111Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:56.501SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Precompiled knowledge support for dynamic argumentation
title Precompiled knowledge support for dynamic argumentation
spellingShingle Precompiled knowledge support for dynamic argumentation
Capobianco, Marcela
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
knowledge representation
argumentation
rational agents
title_short Precompiled knowledge support for dynamic argumentation
title_full Precompiled knowledge support for dynamic argumentation
title_fullStr Precompiled knowledge support for dynamic argumentation
title_full_unstemmed Precompiled knowledge support for dynamic argumentation
title_sort Precompiled knowledge support for dynamic argumentation
dc.creator.none.fl_str_mv Capobianco, Marcela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author Capobianco, Marcela
author_facet Capobianco, Marcela
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_role author
author2 Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
knowledge representation
argumentation
rational agents
topic Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
knowledge representation
argumentation
rational agents
dc.description.none.fl_txt_mv Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views. We have developed a new proposal to solve the aforementioned problem. The key to our approach consists in maintaining a module associated with the knowledge base of the system, with additional information that may help to speed up the inference process. As truth maintenance systems optimize general problem solvers, this module could play a similar role in argumentative systems.
Eje: Lógica e Inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI)
description Argumentative formalisms have been widely recognized as knowledge representation and reasoning tools able to deal with incomplete and potentially contradictory informa- tion. All such formalisms are computationally demanding. Hence, optimizing argumen- tative systems has been approached from di erent views. We have developed a new proposal to solve the aforementioned problem. The key to our approach consists in maintaining a module associated with the knowledge base of the system, with additional information that may help to speed up the inference process. As truth maintenance systems optimize general problem solvers, this module could play a similar role in argumentative systems.
publishDate 2002
dc.date.none.fl_str_mv 2002-10
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/10915/23111
url http://sedici.unlp.edu.ar/handle/10915/23111
dc.language.none.fl_str_mv spa
language spa
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
217-228
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
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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