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Ordering-based Representations of Rational Inference

In Jose Julio Alferes, Luis Moniz Pereira & Ewa Orlowska (eds.), JELIA 96. Springer. pp. 176-191 (1996)

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  1. Two methods of constructing contractions and revisions of knowledge systems.Hans Rott - 1991 - Journal of Philosophical Logic 20 (2):149 - 173.
    This paper investigates the formal relationship between two prominent approaches to the logic of belief change. The first one uses the idea of "relational partial meet contractions" as developed by Alchourrón, Gärdenfors and Makinson (Journal of Symbolic Logic 1985), the second one uses the concept of "epistemic entrenchment" as elaborated by Gärdenfors and Makinson (in Theoretical Aspects of Reasoning about Knowledge, M. Y. Vardi, Los Altos 1988). The two approaches are shown to be strictly equivalent via direct links between the (...)
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  • What does a conditional knowledge base entail?Daniel Lehmann & Menachem Magidor - 1992 - Artificial Intelligence 55 (1):1-60.
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  • Epistemic entrenchment and possibilistic logic.Didier Dubois & Henri Prade - 1991 - Artificial Intelligence 50 (2):223-239.
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  • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
    The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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  • Belief structures, possibility theory and decomposable confidence measures on finite sets.Didier Dubois - 1986 - Computers and Artificial Intelligence (5):403--416.
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  • Relations between the logic of theory change and nonmonotonic logic.David Makinson & Peter Gärdenfors - 1991 - In André Fuhrmann & Michael Morreau (eds.), The Logic of Theory Change. Springer. pp. 183--205.
    Examines the link between nonmonotonic inference relations and theory revision operations, focusing on the correspondence between abstract properties which each may satisfy.
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  • General Patterns in Nonmonotonic Reasoning.David Makinson - 1994 - In Handbook of Logic in Artificial Intelligence Nad Logic Programming, Vol. Iii. Oxford: Clarendon Press. pp. 35-110.
    An extended review of what is known about the formal behaviour of nonmonotonic inference operations, including those generated by the principal systems in the artificial intelligence literature. Directed towards computer scientists and others with some background in logic.
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  • What is a nonmonotonic consequence relation?Robert Stalnaker - 1991 - Fundamenta Informaticae 21:7-21.
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  • A nonmonotonic conditional logic for belief revision.Hans Rott - 1991 - In André Fuhrmann & Michael Morreau (eds.), The Logic of Theory Change. Berlin: Springer. pp. 135–181.
    Using Gärdenfors's notion of epistemic entrenchment, we develop the semantics of a logic which accounts for the following points. It explains why we may generally infer `If ~A then B´ if all we know is AvB while must not generally infer `If ~A then B´ if all we know is {AvB, A}. More generally, it explains the nonmonotonic nature of the consequence relation governing languages which contain conditionals, and it explains how we can deduce conditionals from premise sets without conditionals. (...)
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  • Fuzzy Sets as a Basis for a Theory of Probability.Lofti A. Zadeh - 1978 - Fuzzy Sets and Systems 1:3-28.
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  • Ordinal Conditional Functions. A Dynamic Theory of Epistemic States.Wolfgang Spohn - 1988 - In W. L. Harper & B. Skyrms (eds.), Causation in Decision, Belief Change, and Statistics, vol. II. Kluwer Academic Publishers.
    It is natural and important to have a formal representation of plain belief, according to which propositions are held true, or held false, or neither. (In the paper this is called a deterministic representation of epistemic states). And it is of great philosophical importance to have a dynamic account of plain belief. AGM belief revision theory seems to provide such an account, but it founders at the problem of iterated belief revision, since it can generally account only for one step (...)
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