Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers

Autores
García, Alejandro Javier; Simari, Guillermo Ricardo
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a reasoning mechanism, the way an argumentation reasoning engine reaches these conclusions resembles the cognitive process that humans follow to analyse their beliefs; thus, unlike other computationally reasoning systems, argumentation offers an intellectually friendly alternative to other defeasible reasoning systems. Logic Programming is a computational paradigm that has produced computationally attractive systems with remarkable success in many applications. Merging ideas from both areas, Defeasible Logic Programming offers a computational reasoning system that uses an argumentation engine to obtain answers from a knowledge base represented using a logic programming language extended with defeasible rules. This combination of ideas brings about a computationally effective system together with a human-like reasoning model facilitating its use in applications.
Fil: García, Alejandro Javier. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la ComputaciÓn; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Instituto de Ciencias e Ingenieria de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Argumentation Frameworks
Defeasible Reasoning
Defeasible Logic Programming
Knowledge Representation And 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:11336/21690
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answersGarcía, Alejandro JavierSimari, Guillermo RicardoArgumentation FrameworksDefeasible ReasoningDefeasible Logic ProgrammingKnowledge Representation And Reasoninghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a reasoning mechanism, the way an argumentation reasoning engine reaches these conclusions resembles the cognitive process that humans follow to analyse their beliefs; thus, unlike other computationally reasoning systems, argumentation offers an intellectually friendly alternative to other defeasible reasoning systems. Logic Programming is a computational paradigm that has produced computationally attractive systems with remarkable success in many applications. Merging ideas from both areas, Defeasible Logic Programming offers a computational reasoning system that uses an argumentation engine to obtain answers from a knowledge base represented using a logic programming language extended with defeasible rules. This combination of ideas brings about a computationally effective system together with a human-like reasoning model facilitating its use in applications.Fil: García, Alejandro Javier. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la ComputaciÓn; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Instituto de Ciencias e Ingenieria de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaTaylor & Francis2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/21690García, Alejandro Javier; Simari, Guillermo Ricardo; Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers; Taylor & Francis; Argument and Computation; 5; 1; 2-2014; 63-881946-2166CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/19462166.2013.869767info:eu-repo/semantics/altIdentifier/doi/10.1080/19462166.2013.869767info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:54:37Zoai:ri.conicet.gov.ar:11336/21690instacron: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 09:54:38.071CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
title Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
spellingShingle Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
García, Alejandro Javier
Argumentation Frameworks
Defeasible Reasoning
Defeasible Logic Programming
Knowledge Representation And Reasoning
title_short Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
title_full Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
title_fullStr Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
title_full_unstemmed Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
title_sort Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers
dc.creator.none.fl_str_mv García, Alejandro Javier
Simari, Guillermo Ricardo
author García, Alejandro Javier
author_facet García, Alejandro Javier
Simari, Guillermo Ricardo
author_role author
author2 Simari, Guillermo Ricardo
author2_role author
dc.subject.none.fl_str_mv Argumentation Frameworks
Defeasible Reasoning
Defeasible Logic Programming
Knowledge Representation And Reasoning
topic Argumentation Frameworks
Defeasible Reasoning
Defeasible Logic Programming
Knowledge Representation And Reasoning
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a reasoning mechanism, the way an argumentation reasoning engine reaches these conclusions resembles the cognitive process that humans follow to analyse their beliefs; thus, unlike other computationally reasoning systems, argumentation offers an intellectually friendly alternative to other defeasible reasoning systems. Logic Programming is a computational paradigm that has produced computationally attractive systems with remarkable success in many applications. Merging ideas from both areas, Defeasible Logic Programming offers a computational reasoning system that uses an argumentation engine to obtain answers from a knowledge base represented using a logic programming language extended with defeasible rules. This combination of ideas brings about a computationally effective system together with a human-like reasoning model facilitating its use in applications.
Fil: García, Alejandro Javier. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la ComputaciÓn; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur. Departamento de Ciencias e Ingenieria de la Computacion. Instituto de Ciencias e Ingenieria de la Computacion; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Argumentation represents a way of reasoning over a knowledge base containing possibly incomplete and/or inconsistent information, to obtain useful conclusions. As a reasoning mechanism, the way an argumentation reasoning engine reaches these conclusions resembles the cognitive process that humans follow to analyse their beliefs; thus, unlike other computationally reasoning systems, argumentation offers an intellectually friendly alternative to other defeasible reasoning systems. Logic Programming is a computational paradigm that has produced computationally attractive systems with remarkable success in many applications. Merging ideas from both areas, Defeasible Logic Programming offers a computational reasoning system that uses an argumentation engine to obtain answers from a knowledge base represented using a logic programming language extended with defeasible rules. This combination of ideas brings about a computationally effective system together with a human-like reasoning model facilitating its use in applications.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
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/11336/21690
García, Alejandro Javier; Simari, Guillermo Ricardo; Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers; Taylor & Francis; Argument and Computation; 5; 1; 2-2014; 63-88
1946-2166
CONICET Digital
CONICET
url http://hdl.handle.net/11336/21690
identifier_str_mv García, Alejandro Javier; Simari, Guillermo Ricardo; Defeasible logic programming: DeLP-servers, contextual queries, and explanations for answers; Taylor & Francis; Argument and Computation; 5; 1; 2-2014; 63-88
1946-2166
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/19462166.2013.869767
info:eu-repo/semantics/altIdentifier/doi/10.1080/19462166.2013.869767
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
dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
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
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score 13.13397

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