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dc.date.accessioned 2012-10-31T11:48:31Z
dc.date.available 2012-10-31T11:48:31Z
dc.date.issued 2001-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23290
dc.description.abstract Artificial Intelligence (AI) has long dealt with the issue of finding a suitable formalization for commonsense reasoning. Defeasible argumentation has proven to be a successful approach in many respects, proving to be a confluence point for many alternative logical frameworks. Different formalisms have been developed, most of them sharing the common notions of argument and warrant. In defeasible argumentation, an argument is a tentative (defeasible) proof for reaching a conclusion. An argument is warranted when it ultimately prevails over other con°icting arguments. In this context, defeasible consequence relationships for modeling argument and warrant as well as their logical properties have gained particular attention. This paper discusses two consequence operators for the LDSar framework for defeasible argumentation. The operators are intended for modeling argument construction and dialectical analysis (warrant), respectively. Their associated logical properties are studied and contrasted with SLD-based Horn logic. We contend that this analysis provides useful comparison criteria that can be extended and applied to other argumentation frameworks. en
dc.language en es
dc.subject informática es
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject defeasible argumentation en
dc.subject knowledge representation en
dc.subject non-monotonic inference en
dc.subject labeled deduction en
dc.title Consequence operators for defeasible argumentation: characterization and logical properties en
dc.type Objeto de conferencia es
sedici.creator.person Chesñevar, Carlos Iván es
sedici.creator.person Simari, Guillermo Ricardo es
sedici.description.note Eje: Informática teórica es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2001-10
sedici.relation.event VII Congreso Argentino de Ciencias de la Computación es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)