Argument-based critics and recommenders: A qualitative perspective on user support systems

Autores
Chesñevar, Carlos Iván; Maguitman, Ana Gabriela; Simari, Guillermo Ricardo
Año de publicación
2006
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are cooperative tools that observe the user interacting with a computer system and present reasoned opinions about a product under development. Recommender systems are tools that assist users by facilitating access to relevant items. At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a novel approach towards the integration of user support systems, such as critics and recommender systems, with a defeasible argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools by incorporating argument-based qualitative inference.
Fil: Chesñevar, Carlos Iván. Universidad de Lleida; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Maguitman, Ana Gabriela. Indiana University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Materia
Defeasible Argumentation
User Support Systems
Decision Support Systems
Recommender Systems
Critics
Practical Reasoning
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/82249
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Argument-based critics and recommenders: A qualitative perspective on user support systemsChesñevar, Carlos IvánMaguitman, Ana GabrielaSimari, Guillermo RicardoDefeasible ArgumentationUser Support SystemsDecision Support SystemsRecommender SystemsCriticsPractical Reasoninghttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are cooperative tools that observe the user interacting with a computer system and present reasoned opinions about a product under development. Recommender systems are tools that assist users by facilitating access to relevant items. At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a novel approach towards the integration of user support systems, such as critics and recommender systems, with a defeasible argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools by incorporating argument-based qualitative inference.Fil: Chesñevar, Carlos Iván. Universidad de Lleida; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaFil: Maguitman, Ana Gabriela. Indiana University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaFil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; ArgentinaElsevier Science2006-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/82249Chesñevar, Carlos Iván; Maguitman, Ana Gabriela; Simari, Guillermo Ricardo; Argument-based critics and recommenders: A qualitative perspective on user support systems; Elsevier Science; Data & Knowledge Engineering; 59; 2; 11-2006; 293-3190169-023XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0169023X05001436info:eu-repo/semantics/altIdentifier/doi/0.1016/j.datak.2005.09.005info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:00:46Zoai:ri.conicet.gov.ar:11336/82249instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:00:46.529CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Argument-based critics and recommenders: A qualitative perspective on user support systems
title Argument-based critics and recommenders: A qualitative perspective on user support systems
spellingShingle Argument-based critics and recommenders: A qualitative perspective on user support systems
Chesñevar, Carlos Iván
Defeasible Argumentation
User Support Systems
Decision Support Systems
Recommender Systems
Critics
Practical Reasoning
title_short Argument-based critics and recommenders: A qualitative perspective on user support systems
title_full Argument-based critics and recommenders: A qualitative perspective on user support systems
title_fullStr Argument-based critics and recommenders: A qualitative perspective on user support systems
title_full_unstemmed Argument-based critics and recommenders: A qualitative perspective on user support systems
title_sort Argument-based critics and recommenders: A qualitative perspective on user support systems
dc.creator.none.fl_str_mv Chesñevar, Carlos Iván
Maguitman, Ana Gabriela
Simari, Guillermo Ricardo
author Chesñevar, Carlos Iván
author_facet Chesñevar, Carlos Iván
Maguitman, Ana Gabriela
Simari, Guillermo Ricardo
author_role author
author2 Maguitman, Ana Gabriela
Simari, Guillermo Ricardo
author2_role author
author
dc.subject.none.fl_str_mv Defeasible Argumentation
User Support Systems
Decision Support Systems
Recommender Systems
Critics
Practical Reasoning
topic Defeasible Argumentation
User Support Systems
Decision Support Systems
Recommender Systems
Critics
Practical Reasoning
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are cooperative tools that observe the user interacting with a computer system and present reasoned opinions about a product under development. Recommender systems are tools that assist users by facilitating access to relevant items. At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a novel approach towards the integration of user support systems, such as critics and recommender systems, with a defeasible argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools by incorporating argument-based qualitative inference.
Fil: Chesñevar, Carlos Iván. Universidad de Lleida; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Maguitman, Ana Gabriela. Indiana University; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina
description In recent years we have witnessed the wide-spread evolution of support tools that operate in association with the user to accomplish a range of computer-mediated tasks. Two examples of these tools are critics and recommenders. Critics are cooperative tools that observe the user interacting with a computer system and present reasoned opinions about a product under development. Recommender systems are tools that assist users by facilitating access to relevant items. At the same time, defeasible argumentation has evolved as a successful approach in AI to model commonsense qualitative reasoning, with applications in many areas, such as agent theory, knowledge engineering and legal reasoning. This paper presents a novel approach towards the integration of user support systems, such as critics and recommender systems, with a defeasible argumentation framework. The final goal is to enhance practical reasoning capabilities of current user support tools by incorporating argument-based qualitative inference.
publishDate 2006
dc.date.none.fl_str_mv 2006-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/82249
Chesñevar, Carlos Iván; Maguitman, Ana Gabriela; Simari, Guillermo Ricardo; Argument-based critics and recommenders: A qualitative perspective on user support systems; Elsevier Science; Data & Knowledge Engineering; 59; 2; 11-2006; 293-319
0169-023X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/82249
identifier_str_mv Chesñevar, Carlos Iván; Maguitman, Ana Gabriela; Simari, Guillermo Ricardo; Argument-based critics and recommenders: A qualitative perspective on user support systems; Elsevier Science; Data & Knowledge Engineering; 59; 2; 11-2006; 293-319
0169-023X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0169023X05001436
info:eu-repo/semantics/altIdentifier/doi/0.1016/j.datak.2005.09.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842269658112065536
score 13.13397

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