Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems
- Autores
- Chesñevar, Carlos Iván; Simari, Guillermo Ricardo
- Año de publicación
- 2002
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- LabeledDeductive Systems (LDS)were developed as a rigorous but fexiblemethodology to formalize complex logical systems, such as temporal logics, database query languages and defeasible reasoning systems. LDSAR is a LDS-based framework for defeasible argumentation which subsumes diferent existing argumentation frameworks, providing a testbed for studying diferent relevant features (such as emerging logical properties, ontological aspects, semantic characterization, etc.) This paper discusses some relevant issues concerning the introduction of probabilistic reasoning into defeasible argumentation. In particular, we consider a first approach for recasting the existing LDSAR framework in order to incorporate numeric attributes (certainty factors) as part of the argumentation process.
Eje: Aspectos teóricos de inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Introducing Probabilistic Reasoning
Defeasible Argumentation
Labeled Deductive Systems - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/21797
Ver los metadatos del registro completo
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Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systemsChesñevar, Carlos IvánSimari, Guillermo RicardoCiencias InformáticasARTIFICIAL INTELLIGENCEIntroducing Probabilistic ReasoningDefeasible ArgumentationLabeled Deductive SystemsLabeledDeductive Systems (LDS)were developed as a rigorous but fexiblemethodology to formalize complex logical systems, such as temporal logics, database query languages and defeasible reasoning systems. LDSAR is a LDS-based framework for defeasible argumentation which subsumes diferent existing argumentation frameworks, providing a testbed for studying diferent relevant features (such as emerging logical properties, ontological aspects, semantic characterization, etc.) This paper discusses some relevant issues concerning the introduction of probabilistic reasoning into defeasible argumentation. In particular, we consider a first approach for recasting the existing LDSAR framework in order to incorporate numeric attributes (certainty factors) as part of the argumentation process.Eje: Aspectos teóricos de inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI)2002-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf14-18http://sedici.unlp.edu.ar/handle/10915/21797enginfo: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:UNLP2025-10-15T10:47:24Zoai:sedici.unlp.edu.ar:10915/21797Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:24.774SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| title |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| spellingShingle |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems Chesñevar, Carlos Iván Ciencias Informáticas ARTIFICIAL INTELLIGENCE Introducing Probabilistic Reasoning Defeasible Argumentation Labeled Deductive Systems |
| title_short |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| title_full |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| title_fullStr |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| title_full_unstemmed |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| title_sort |
Introducing probabilistic reasoning in defeasible argumentation using labeled deductive systems |
| dc.creator.none.fl_str_mv |
Chesñevar, Carlos Iván Simari, Guillermo Ricardo |
| author |
Chesñevar, Carlos Iván |
| author_facet |
Chesñevar, Carlos Iván Simari, Guillermo Ricardo |
| author_role |
author |
| author2 |
Simari, Guillermo Ricardo |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Introducing Probabilistic Reasoning Defeasible Argumentation Labeled Deductive Systems |
| topic |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Introducing Probabilistic Reasoning Defeasible Argumentation Labeled Deductive Systems |
| dc.description.none.fl_txt_mv |
LabeledDeductive Systems (LDS)were developed as a rigorous but fexiblemethodology to formalize complex logical systems, such as temporal logics, database query languages and defeasible reasoning systems. LDSAR is a LDS-based framework for defeasible argumentation which subsumes diferent existing argumentation frameworks, providing a testbed for studying diferent relevant features (such as emerging logical properties, ontological aspects, semantic characterization, etc.) This paper discusses some relevant issues concerning the introduction of probabilistic reasoning into defeasible argumentation. In particular, we consider a first approach for recasting the existing LDSAR framework in order to incorporate numeric attributes (certainty factors) as part of the argumentation process. Eje: Aspectos teóricos de inteligencia artificial Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
LabeledDeductive Systems (LDS)were developed as a rigorous but fexiblemethodology to formalize complex logical systems, such as temporal logics, database query languages and defeasible reasoning systems. LDSAR is a LDS-based framework for defeasible argumentation which subsumes diferent existing argumentation frameworks, providing a testbed for studying diferent relevant features (such as emerging logical properties, ontological aspects, semantic characterization, etc.) This paper discusses some relevant issues concerning the introduction of probabilistic reasoning into defeasible argumentation. In particular, we consider a first approach for recasting the existing LDSAR framework in order to incorporate numeric attributes (certainty factors) as part of the argumentation process. |
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2002 |
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2002-05 |
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