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dc.date.accessioned 2012-11-29T15:46:26Z
dc.date.available 2012-11-29T15:46:26Z
dc.date.issued 1998-11
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/24901
dc.description.abstract Negative information can be represented in several classes of logic programs. These approaches were first motivated by the search for an appropriate declarative semantics for negation as failure. Recently, some formalizations of monotonic negation were also introduced in logic programming in the form of “classical” or “strong” negation. In view of such a diversity of semantics for negation in logic programs, Dix [7,5,6] proposed a method for classigying and characterizing them. In this paper we present an analysis of these approaches from the view-point of knowledge representation. We compare them with nonmonotonic formalisms such as default logic, circumscription, and autoepistemic logic, identifying some problems that are not preset in these logics. Then we suggest some alternatives, considering Dix’s formal properties. Finally we discuss the effect of allowing only one negative connective in the syntax of logic programs, whose semantics is defined by the programmer. en
dc.language en es
dc.subject Logic Programming es
dc.subject Nonmonotic reasoning en
dc.subject Negation en
dc.subject Negation as failure en
dc.title Negation in logic programs: is it necessary two connectives? en
dc.type Objeto de conferencia es
sedici.creator.person Fillottrani, Pablo Rubén es
sedici.creator.person Simari, Guillermo Ricardo es
sedici.description.note Eje: Teoría es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.materias Informática 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 1998-10
sedici.relation.event IV Congreso Argentina 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) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)