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  1. From KLM-style conditionals to defeasible modalities, and back.Katarina Britz & Ivan Varzinczak - 2018 - Journal of Applied Non-Classical Logics 28 (1):92-121.
    We investigate an aspect of defeasibility that has somewhat been overlooked by the non-monotonic reasoning community, namely that of defeasible modes of reasoning. These aim to formalise defeasibility of the traditional notion of necessity in modal logic, in particular of its different readings as action, knowledge and others in specific contexts, rather than defeasibility of conditional forms. Building on an extension of the preferential approach to modal logics, we introduce new modal osperators with which to formalise the notion of defeasible (...)
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  • Unifying default reasoning and belief revision in a modal framework.Craig Boutilier - 1994 - Artificial Intelligence 68 (1):33-85.
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  • Knowledge means ‘all’, belief means ‘most’.Dimitris Askounis, Costas D. Koutras & Yorgos Zikos - 2016 - Journal of Applied Non-Classical Logics 26 (3):173-192.
    We introduce a bimodal epistemic logic intended to capture knowledge as truth in all epistemically alternative states and belief as a generalised ‘majority’ quantifier, interpreted as truth in most of the epistemically alternative states. This doxastic interpretation is of interest in knowledge-representation applications and it also holds an independent philosophical and technical appeal. The logic comprises an epistemic modal operator, a doxastic modal operator of consistent and complete belief and ‘bridge’ axioms which relate knowledge to belief. To capture the notion (...)
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  • On the logic of theory change: Partial meet contraction and revision functions.Carlos E. Alchourrón, Peter Gärdenfors & David Makinson - 1985 - Journal of Symbolic Logic 50 (2):510-530.
    This paper extends earlier work by its authors on formal aspects of the processes of contracting a theory to eliminate a proposition and revising a theory to introduce a proposition. In the course of the earlier work, Gardenfors developed general postulates of a more or less equational nature for such processes, whilst Alchourron and Makinson studied the particular case of contraction functions that are maximal, in the sense of yielding a maximal subset of the theory (or alternatively, of one of (...)
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  • Semantic Analyses for Dyadic Deontic Logic.David K. Lewis - 1974 - In Stig Kanger & Sören Stenlund (eds.), Logical theory and semantic analysis: essays dedicated to Stig Kanger on his fiftieth birthday. Boston: Reidel. pp. 1-14.
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  • On vague notions and modalities: a modular approach.P. A. S. Veloso, S. R. M. Veloso, P. Viana, R. D. Freitas, M. Benevides & C. Delgado - 2010 - Logic Journal of the IGPL 18 (3):381-402.
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  • On vague notions and modalities: a modular approach.Paulo Veloso, Sheila Veloso, Petrúcio Viana, Renata de Freitas & Mario Benevides - 2010 - Logic Journal of the IGPL 18 (3):381-402.
    Vague notions, such as ‘generally’, ‘rarely’, ‘often’, ‘almost always’, ‘a meaningful subset of a whole’, ‘most’, etc., occur often in ordinary language and in some branches of science. We introduce modal logical systems, with generalized operators, for the precise treatment of assertions involving some versions of such vague notions. We examine modal logics, constructed in a modular fashion, with generalized operators corresponding to some versions of ‘generally’ and ‘rarely’.
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  • Five faces of minimality.David Makinson - 1993 - Studia Logica 52 (3):339 - 379.
    We discuss similarities and residual differences, within the general semantic framework of minimality, between defeasible inference, belief revision, counterfactual conditionals, updating — and also conditional obligation in deontic logic. Our purpose is not to establish new results, but to bring together existing material to form a clear overall picture.
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  • First order predicate logic with generalized quantifiers.Per Lindström - 1966 - Theoria 32 (3):186--195.
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  • Possibilistic reasoning—a mini-survey and uniform semantics.Churn-Jung Liau & Bertrand I.-Peng Lin - 1996 - Artificial Intelligence 88 (1-2):163-193.
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  • Counterfactuals.David K. Lewis - 1973 - Malden, Mass.: Blackwell.
    Counterfactuals is David Lewis' forceful presentation of and sustained argument for a particular view about propositions which express contrary to fact conditionals, including his famous defense of realism about possible worlds and his theory of laws of nature.
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  • What does a conditional knowledge base entail?D. Lehmann & M. Magidor - 1994 - Artificial Intelligence 68 (2):411.
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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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  • Nonmonotonic reasoning, preferential models and cumulative logics.Sarit Kraus, Daniel Lehmann & Menachem Magidor - 1990 - Artificial Intelligence 44 (1-2):167-207.
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  • Propositional knowledge base revision and minimal change.Hirofumi Katsuno & Alberto O. Mendelzon - 1991 - Artificial Intelligence 52 (3):263-294.
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  • [Introduction].Wilfrid Hodges - 1988 - Journal of Symbolic Logic 53 (1):1.
    We consider two formalisations of the notion of a compositionalsemantics for a language, and find some equivalent statements in termsof substitutions. We prove a theorem stating necessary and sufficientconditions for the existence of a canonical compositional semanticsextending a given partial semantics, after discussing what features onewould want such an extension to have. The theorem involves someassumptions about semantical categories in the spirit of Husserl andTarski.
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  • Nonmonotonic Conditionals that Behave Like Conditional Probabilities Above a Threshold.James Hawthorne - 2007 - Journal of Applied Logic 5 (4):625-637.
    I’ll describe a range of systems for nonmonotonic conditionals that behave like conditional probabilities above a threshold. The rules that govern each system are probabilistically sound in that each rule holds when the conditionals are interpreted as conditional probabilities above a threshold level specific to that system. The well-known preferential and rational consequence relations turn out to be special cases in which the threshold level is 1. I’ll describe systems that employ weaker rules appropriate to thresholds lower than 1, and (...)
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  • An analysis of some deontic logics.Bengt Hansson - 1969 - Noûs 3 (4):373-398.
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  • Nonmonotonic inference based on expectations.Peter Gärdenfors & David Makinson - 1994 - Artificial Intelligence 65 (2):197-245.
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  • Semantic characterization of rational closure: From propositional logic to description logics.L. Giordano, V. Gliozzi, N. Olivetti & G. L. Pozzato - 2015 - Artificial Intelligence 226 (C):1-33.
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  • A non-monotonic Description Logic for reasoning about typicality.L. Giordano, V. Gliozzi, N. Olivetti & G. L. Pozzato - 2013 - Artificial Intelligence 195 (C):165-202.
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  • A Textbook of Belief Dynamics: Theory Change and Database Updating.Sven Ove Hansson - 1999 - Dordrecht and Boston: Kluwer Academic Publishers.
    SUGGESTED COURSES Introductory level A (Requires very little background in logic .): 4: -9 - - -7 -2 Introductory level B: -9,:+-+ -,2:+,2: -,3:20+-22+ -7 -2 ...
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  • A Theory of Conditionals.Robert Stalnaker - 1968 - In Nicholas Rescher (ed.), Studies in Logical Theory (American Philosophical Quarterly Monographs 2). Oxford: Blackwell. pp. 98-112.
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  • Model theory.Wilfrid Hodges - 2008 - Stanford Encyclopedia of Philosophy.
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  • Counterfactuals.David Lewis - 1973 - Tijdschrift Voor Filosofie 36 (3):602-605.
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  • Knowledge means 'all', Belief means 'most'.Dimitris Askounis, Costas D. Koutras & Yorgos Zikos - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer. pp. 41--53.
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  • PTL: A propositional typicality logic.Richard Booth, Thomas Meyer & Ivan Varzinczak - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer. pp. 107--119.
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