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dc.date.accessioned 2012-10-16T14:54:52Z
dc.date.available 2012-10-16T14:54:52Z
dc.date.issued 2004
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/22505
dc.description.abstract Defeasible Logic Programming (DeLP) is a knowledge representation and reasoning formalism that by combining Logic Programming with Defeasible Argumentation is able to represent incomplete and potentially contradictory information. Within the field of Logic Programming, most of the implementations of Prolog and its variants are based on an abstract machine defined by D. Warren (nowadays known as WAM, standing for Warren’s Abstract Machine), that sits between the program and the actual hardware executing it. This separation of concerns allows the developer to focus mainly on the aspects related to the language being implemented, and not on the distinctive characteristics of the available hardware. In this paper we summarize how an abstract machine can also help in the context of DeLP, exploring the points of contact between WAM and a particular abstract machine defined for this theory called JAM. en
dc.language en es
dc.subject ARTIFICIAL INTELLIGENCE es
dc.subject knowledge representation and reasoning en
dc.subject Intelligent agents es
dc.subject defeasible argumentation en
dc.subject abstract machines en
dc.title An abstract machine for the execution of DeLP programs en
dc.type Objeto de conferencia es
sedici.creator.person Stankevicius, Alejandro G. es
sedici.creator.person García, Alejandro Javier es
sedici.description.note Eje: V - Workshop de agentes y sistemas inteligentes 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.relation.event X 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)