Characterizing defeat in observation-based defeasible logic programming

Autores
Capobianco, Marcela; Chesñevar, Carlos Iván
Año de publicación
2004
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this work we analyze the problem of incorporating specificity to characterize defeat in a particular argumentative framework, called observation based defeasible logic programming (ODeLP) [1]. Eficiency is an important issues in ODeLP, since this framework has been de ned for representing the knowledge of intelligent agents in real world applications. Computing specificity using domain knowledge is a demanding operation. Thus, have devised a new version of this criterion, that optimizes the computation of the defeat relation.
Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computación
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Logic Programming
characterizing defeat
observation-based
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:10915/21248
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/21248
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Characterizing defeat in observation-based defeasible logic programmingCapobianco, MarcelaChesñevar, Carlos IvánCiencias InformáticasARTIFICIAL INTELLIGENCELogic Programmingcharacterizing defeatobservation-basedIn this work we analyze the problem of incorporating specificity to characterize defeat in a particular argumentative framework, called observation based defeasible logic programming (ODeLP) [1]. Eficiency is an important issues in ODeLP, since this framework has been de ned for representing the knowledge of intelligent agents in real world applications. Computing specificity using domain knowledge is a demanding operation. Thus, have devised a new version of this criterion, that optimizes the computation of the defeat relation.Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computaciónRed de Universidades con Carreras en Informática (RedUNCI)2004-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf348-353http://sedici.unlp.edu.ar/handle/10915/21248enginfo: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:UNLP2025-09-03T10:27:25Zoai:sedici.unlp.edu.ar:10915/21248Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:27:25.746SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Characterizing defeat in observation-based defeasible logic programming
title Characterizing defeat in observation-based defeasible logic programming
spellingShingle Characterizing defeat in observation-based defeasible logic programming
Capobianco, Marcela
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Logic Programming
characterizing defeat
observation-based
title_short Characterizing defeat in observation-based defeasible logic programming
title_full Characterizing defeat in observation-based defeasible logic programming
title_fullStr Characterizing defeat in observation-based defeasible logic programming
title_full_unstemmed Characterizing defeat in observation-based defeasible logic programming
title_sort Characterizing defeat in observation-based defeasible logic programming
dc.creator.none.fl_str_mv Capobianco, Marcela
Chesñevar, Carlos Iván
author Capobianco, Marcela
author_facet Capobianco, Marcela
Chesñevar, Carlos Iván
author_role author
author2 Chesñevar, Carlos Iván
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Logic Programming
characterizing defeat
observation-based
topic Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Logic Programming
characterizing defeat
observation-based
dc.description.none.fl_txt_mv In this work we analyze the problem of incorporating specificity to characterize defeat in a particular argumentative framework, called observation based defeasible logic programming (ODeLP) [1]. Eficiency is an important issues in ODeLP, since this framework has been de ned for representing the knowledge of intelligent agents in real world applications. Computing specificity using domain knowledge is a demanding operation. Thus, have devised a new version of this criterion, that optimizes the computation of the defeat relation.
Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computación
Red de Universidades con Carreras en Informática (RedUNCI)
description In this work we analyze the problem of incorporating specificity to characterize defeat in a particular argumentative framework, called observation based defeasible logic programming (ODeLP) [1]. Eficiency is an important issues in ODeLP, since this framework has been de ned for representing the knowledge of intelligent agents in real world applications. Computing specificity using domain knowledge is a demanding operation. Thus, have devised a new version of this criterion, that optimizes the computation of the defeat relation.
publishDate 2004
dc.date.none.fl_str_mv 2004-05
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/10915/21248
url http://sedici.unlp.edu.ar/handle/10915/21248
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
348-353
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 13.13397

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