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Jürgen Dix [9]J. Dix [2]Jennifer Dix [2]Josh Dix [1]
  1.  14
    Nonmonotonic Reasoning: An Overview.Gerhard Brewka, Jürgen Dix & Kurt Konolige - 1997 - Center for the Study of Language and Inf.
    Nonmonotonic reasoning in its broadest sense is reasoning to conclusions on the basis of incomplete information. Given more information, previously drawn inferences may be retracted. Commonsense reasoning has a nonmonotonic component; it has been argued that almost all commonsense inferences are of this sort. From the end of the 1980s to the present there has been an explosion in research in nonmonotonic reasoning. It is now possible to understand more clearly the properties of the major formalisms from a metatheoretical point (...)
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  2.  16
    A meta-analysis of the facilitation of arm flexion and extension movements as a function of stimulus valence.Simon M. Laham, Yoshihisa Kashima, Jennifer Dix & Melissa Wheeler - 2015 - Cognition and Emotion 29 (6):1069-1090.
  3.  23
    Elaborated contextual framing is necessary for action-based attitude acquisition.Simon M. Laham, Yoshihisa Kashima, Jennifer Dix, Melissa Wheeler & Bianca Levis - 2014 - Cognition and Emotion 28 (6):1119-1126.
  4.  15
    A general theory of confluent rewriting systems for logic programming and its applications.Jürgen Dix, Mauricio Osorio & Claudia Zepeda - 2001 - Annals of Pure and Applied Logic 108 (1-3):153-188.
    Recently, Brass and Dix showed 143–165) that the well founded semantics WFS can be defined as a confluent calculus of transformation rules. This led not only to a simple extension to disjunctive programs 167–213), but also to a new computation of the well-founded semantics which is linear for a broad class of programs. We take this approach as a starting point and generalize it considerably by developing a general theory of Confluent LP-systems CS . Such a system CS is a (...)
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  5.  73
    The relationship between KLM and MAK models for nonmonotonic inference operations.Jürgen Dix & David Makinson - 1992 - Journal of Logic, Language and Information 1 (2):131-140.
    The purpose of this note is to make quite clear the relationship between two variants of the general notion of a preferential model for nonmonotonic inference: the models of Kraus, Lehmann and Magidor (KLM models) and those of Makinson (MAK models).On the one hand, we introduce the notion of the core of a KLM model, which suffices to fully determine the associated nonmonotonic inference relation. On the other hand, we slightly amplify MAK models with a monotonic consequence operation as additional (...)
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  6.  3
    Computation of the semantics of autoepistemic belief theories.Stefan Brass, Jürgen Dix & Teodor C. Przymusinski - 1999 - Artificial Intelligence 112 (1-2):233-250.
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  7. Neuronopolitics : the brainy approach to political science.Josh Dix - 2010 - In Howard J. Wiarda (ed.), Grand theories and ideologies in the social sciences. New York: Palgrave-Macmillan.
  8.  6
    Temporal agent programs.Jürgen Dix, Sarit Kraus & V. S. Subrahmanian - 2001 - Artificial Intelligence 127 (1):87-135.
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  9. Logic Programming and Knowledge Representation: Third International Workshop, LPKR '97, Port Jefferson, New York, USA, October 1997, Selected Papers'. [REVIEW]Jürgen Dix, Luís Moniz Pereira & Teodor C. Przymusinski - 2001 - Studia Logica 68 (2):299-300.
  10. Non-Monotonic Extensions of Logic Programming 2nd International Workshop, Nmelp '96, Bad Honnef, Germany, September 5-6, 1996 : Selected Papers'.J. Dix, Luís Moniz Pereira & Teodor C. Przymusinski - 1997
     
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