dc.creatorChesñevar, Carlos Iván
dc.creatorSimari, Guillermo Ricardo
dc.date2002-05
dc.date2002
dc.date2012-10-01T11:34:53Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/21797
dc.descriptionLabeledDeductive 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.
dc.descriptionEje: Aspectos teóricos de inteligencia artificial
dc.descriptionRed de Universidades con Carreras en Informática (RedUNCI)
dc.formatapplication/pdf
dc.format14-18
dc.languageen
dc.relationIV Workshop de Investigadores en Ciencias de la Computación
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.subjectCiencias Informáticas
dc.titleIntroducing probabilistic reasoning in defeasible argumentation using labeled deductive systems
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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