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dc.date.accessioned 2012-11-15T15:23:06Z
dc.date.available 2012-11-15T15:23:06Z
dc.date.issued 1996-11
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24237
dc.description.abstract During the last decade, defeasible argumentation has proven to be a fruitful formalization for modelling commonsense reasorúng. In this respect, the MTDR framework has come to be a fairly standard approach, because of its simplicity and expressive power. Recently, the framework has been enriched through a number of dialectical considerations, resulting in a new ontology, based on Rescher's model of theory formation through dispute. The current trend is that dispute is the most fair and effective way to investigate the tenability of claims. However, dispute is usually resource-bounded, so that the notion of u1timately supported claims (or justifications) cannot be separated from this issue. This paper discusses sorne theoretical considerations for an extension of MTDR where bounds on resources are taken into account. en
dc.format.extent 616-628 es
dc.language en es
dc.subject defeasible argumentation en
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject defeasible reasoning en
dc.title Sorne theoretical considerations on resource-bounded defeasible argurnentation 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: 3er Workshop sobre Aspectos teóricos de la inteligencia artificial 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 1996-11
sedici.relation.event II 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)