A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making
- Autores
- Ferretti, Edgardo; Errecalde, Marcelo; Garcia, Alejandro Javier; Simari, Guillermo Ricardo
- Año de publicación
- 2014
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The development of symbolic approaches to decision-making has become an evergrowing research line in artificial intelligence; argumentation has contributed to that with its unique strengths. Following this trend, this article proposes a general-purpose decision framework based on argumentation. Given a set of alternatives posed to the decisionmaker, the framework represents the agent’s preferences and knowledge by an epistemic component developed using possibilistic defeasible logic programming. The reasons by which a particular alternative is deemed better than another are explicitly considered in the argumentation process involved in warranting information from the epistemic component. The information warranted by the dialectical process is then used in decision rules that implement the agent’s general decision-making policy. Essentially, decision rules establish patterns of behaviour of the agent specifying under which conditions a set of alternatives will be considered acceptable; moreover, a methodology for programming the agent’s epistemic component is defined. It is demonstrated that programming the agent’s epistemic component following this methodology exhibits some interesting properties with respect to the selected alternatives; also, when all the relevantinformation regarding the agent’s preferences is specified, its choice behaviour coincides with respect to the optimum preference derived from a rational preference relation.
Fil: Ferretti, Edgardo. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Errecalde, Marcelo . Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina
Fil: Garcia, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina. Universidad Nacional del Sur; Argentina
Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina - Materia
-
Non-Monotonic Reasoning
Argumentation
Possibilistic Defeasible Logic
Programming
Decision Making - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/12390
Ver los metadatos del registro completo
id |
CONICETDig_c187ea48d606acbd7f169cd8516d800d |
---|---|
oai_identifier_str |
oai:ri.conicet.gov.ar:11336/12390 |
network_acronym_str |
CONICETDig |
repository_id_str |
3498 |
network_name_str |
CONICET Digital (CONICET) |
spelling |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision MakingFerretti, EdgardoErrecalde, Marcelo Garcia, Alejandro JavierSimari, Guillermo RicardoNon-Monotonic ReasoningArgumentationPossibilistic Defeasible LogicProgrammingDecision Makinghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The development of symbolic approaches to decision-making has become an evergrowing research line in artificial intelligence; argumentation has contributed to that with its unique strengths. Following this trend, this article proposes a general-purpose decision framework based on argumentation. Given a set of alternatives posed to the decisionmaker, the framework represents the agent’s preferences and knowledge by an epistemic component developed using possibilistic defeasible logic programming. The reasons by which a particular alternative is deemed better than another are explicitly considered in the argumentation process involved in warranting information from the epistemic component. The information warranted by the dialectical process is then used in decision rules that implement the agent’s general decision-making policy. Essentially, decision rules establish patterns of behaviour of the agent specifying under which conditions a set of alternatives will be considered acceptable; moreover, a methodology for programming the agent’s epistemic component is defined. It is demonstrated that programming the agent’s epistemic component following this methodology exhibits some interesting properties with respect to the selected alternatives; also, when all the relevantinformation regarding the agent’s preferences is specified, its choice behaviour coincides with respect to the optimum preference derived from a rational preference relation.Fil: Ferretti, Edgardo. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Errecalde, Marcelo . Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; ArgentinaFil: Garcia, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina. Universidad Nacional del Sur; ArgentinaFil: Simari, Guillermo Ricardo. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; ArgentinaTaylor & Francis2014-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/12390Ferretti, Edgardo; Errecalde, Marcelo ; Garcia, Alejandro Javier; Simari, Guillermo Ricardo; A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making; Taylor & Francis; Journal Of Experimental And Theoretical Artificial Intelligence; 26; 4; 6-2014; 519-5500952-813Xenginfo:eu-repo/semantics/altIdentifier/url/http://www.tandfonline.com/doi/abs/10.1080/0952813X.2014.921733info:eu-repo/semantics/altIdentifier/doi/10.1080/0952813X.2014.921733info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:20Zoai:ri.conicet.gov.ar:11336/12390instacron: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 09:53:21.183CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
title |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
spellingShingle |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making Ferretti, Edgardo Non-Monotonic Reasoning Argumentation Possibilistic Defeasible Logic Programming Decision Making |
title_short |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
title_full |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
title_fullStr |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
title_full_unstemmed |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
title_sort |
A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making |
dc.creator.none.fl_str_mv |
Ferretti, Edgardo Errecalde, Marcelo Garcia, Alejandro Javier Simari, Guillermo Ricardo |
author |
Ferretti, Edgardo |
author_facet |
Ferretti, Edgardo Errecalde, Marcelo Garcia, Alejandro Javier Simari, Guillermo Ricardo |
author_role |
author |
author2 |
Errecalde, Marcelo Garcia, Alejandro Javier Simari, Guillermo Ricardo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Non-Monotonic Reasoning Argumentation Possibilistic Defeasible Logic Programming Decision Making |
topic |
Non-Monotonic Reasoning Argumentation Possibilistic Defeasible Logic Programming Decision Making |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The development of symbolic approaches to decision-making has become an evergrowing research line in artificial intelligence; argumentation has contributed to that with its unique strengths. Following this trend, this article proposes a general-purpose decision framework based on argumentation. Given a set of alternatives posed to the decisionmaker, the framework represents the agent’s preferences and knowledge by an epistemic component developed using possibilistic defeasible logic programming. The reasons by which a particular alternative is deemed better than another are explicitly considered in the argumentation process involved in warranting information from the epistemic component. The information warranted by the dialectical process is then used in decision rules that implement the agent’s general decision-making policy. Essentially, decision rules establish patterns of behaviour of the agent specifying under which conditions a set of alternatives will be considered acceptable; moreover, a methodology for programming the agent’s epistemic component is defined. It is demonstrated that programming the agent’s epistemic component following this methodology exhibits some interesting properties with respect to the selected alternatives; also, when all the relevantinformation regarding the agent’s preferences is specified, its choice behaviour coincides with respect to the optimum preference derived from a rational preference relation. Fil: Ferretti, Edgardo. Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina Fil: Errecalde, Marcelo . Universidad Nacional de San Luis. Facultad de Ciencias Físico Matemáticas y Naturales. Departamento de Informática. Laboratorio Investigación y Desarrollo en Inteligencia Computacional; Argentina Fil: Garcia, Alejandro Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina. Universidad Nacional del Sur; Argentina Fil: Simari, Guillermo Ricardo. Universidad Nacional del Sur; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahia Blanca; Argentina |
description |
The development of symbolic approaches to decision-making has become an evergrowing research line in artificial intelligence; argumentation has contributed to that with its unique strengths. Following this trend, this article proposes a general-purpose decision framework based on argumentation. Given a set of alternatives posed to the decisionmaker, the framework represents the agent’s preferences and knowledge by an epistemic component developed using possibilistic defeasible logic programming. The reasons by which a particular alternative is deemed better than another are explicitly considered in the argumentation process involved in warranting information from the epistemic component. The information warranted by the dialectical process is then used in decision rules that implement the agent’s general decision-making policy. Essentially, decision rules establish patterns of behaviour of the agent specifying under which conditions a set of alternatives will be considered acceptable; moreover, a methodology for programming the agent’s epistemic component is defined. It is demonstrated that programming the agent’s epistemic component following this methodology exhibits some interesting properties with respect to the selected alternatives; also, when all the relevantinformation regarding the agent’s preferences is specified, its choice behaviour coincides with respect to the optimum preference derived from a rational preference relation. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-06 |
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/11336/12390 Ferretti, Edgardo; Errecalde, Marcelo ; Garcia, Alejandro Javier; Simari, Guillermo Ricardo; A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making; Taylor & Francis; Journal Of Experimental And Theoretical Artificial Intelligence; 26; 4; 6-2014; 519-550 0952-813X |
url |
http://hdl.handle.net/11336/12390 |
identifier_str_mv |
Ferretti, Edgardo; Errecalde, Marcelo ; Garcia, Alejandro Javier; Simari, Guillermo Ricardo; A Possibilistic Defeasible Logic Programming Approach to Argumentation-Based Decision Making; Taylor & Francis; Journal Of Experimental And Theoretical Artificial Intelligence; 26; 4; 6-2014; 519-550 0952-813X |
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/10.1080/0952813X.2014.921733 info:eu-repo/semantics/altIdentifier/doi/10.1080/0952813X.2014.921733 |
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 |
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 |
_version_ |
1842269218076098560 |
score |
13.13397 |