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  1. Vérité incertaine – Vérité approximative.Didier Dubois & Henri Prade - 2001 - Rue Descartes 31 (1):105-126.
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  • Generalized possibilistic logic: Foundations and applications to qualitative reasoning about uncertainty.Didier Dubois, Henri Prade & Steven Schockaert - 2017 - Artificial Intelligence 252 (C):139-174.
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  • Fuzzy set and possibility theory-based methods in artificial intelligence.Didier Dubois & Henri Prade - 2003 - Artificial Intelligence 148 (1-2):1-9.
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  • Preferences in AI: An overview.Carmel Domshlak, Eyke Hüllermeier, Souhila Kaci & Henri Prade - 2011 - Artificial Intelligence 175 (7-8):1037-1052.
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  • Parallel belief revision: Revising by sets of formulas.James Delgrande & Yi Jin - 2012 - Artificial Intelligence 176 (1):2223-2245.
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  • On first-order conditional logics.James P. Delgrande - 1998 - Artificial Intelligence 105 (1-2):105-137.
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  • Three Ways of Being Non-Material.Vincenzo Crupi & Andrea Iacona - 2022 - Studia Logica 110:47-93.
    This paper develops a probabilistic analysis of conditionals which hinges on a quantitative measure of evidential support. In order to spell out the interpreta- tion of ‘if’ suggested, we will compare it with two more familiar interpretations, the suppositional interpretation and the strict interpretation, within a formal framework which rests on fairly uncontroversial assumptions. As it will emerge, each of the three interpretations considered exhibits specific logical features that deserve separate consideration.
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  • Elementary Belief Revision Operators.Jake Chandler & Richard Booth - 2023 - Journal of Philosophical Logic 52 (1):267-311.
    Discussions of the issue of iterated belief revision are commonly accompanied by the presentation of three “concrete” operators: natural, restrained and lexicographic. This raises a natural question: What is so distinctive about these three particular methods? Indeed, the common axiomatic ground for work on iterated revision, the AGM and Darwiche-Pearl postulates, leaves open a whole range of alternative proposals. In this paper, we show that it is satisfaction of an additional principle of “Independence of Irrelevant Alternatives”, inspired by the literature (...)
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  • Situated conditional reasoning.Giovanni Casini, Thomas Meyer & Ivan Varzinczak - 2023 - Artificial Intelligence 319 (C):103917.
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  • Semantics for Dual Preferential Entailment.Katarina Britz, Johannes Heidema & Willem Labuschagne - 2009 - Journal of Philosophical Logic 38 (4):433-446.
    We introduce and explore the notion of duality for entailment relations induced by preference orderings on states. We discuss the relationship between these preferential entailment relations from the perspectives of Boolean algebra, inference rules, and modal axiomatisation. Interpreting the preference relations as accessibility relations establishes modular Gödel-Löb logic as a suitable modal framework for rational preferential reasoning.
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  • Preferential Accessibility and Preferred Worlds.Katarina Britz & Ivan Varzinczak - 2018 - Journal of Logic, Language and Information 27 (2):133-155.
    Modal accounts of normality in non-monotonic reasoning traditionally have an underlying semantics based on a notion of preference amongst worlds. In this paper, we motivate and investigate an alternative semantics, based on ordered accessibility relations in Kripke frames. The underlying intuition is that some world tuples may be seen as more normal, while others may be seen as more exceptional. We show that this delivers an elegant and intuitive semantic construction, which gives a new perspective on defeasible necessity. Technically, the (...)
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  • Foundations of Probability.Rachael Briggs - 2015 - Journal of Philosophical Logic 44 (6):625-640.
    The foundations of probability are viewed through the lens of the subjectivist interpretation. This article surveys conditional probability, arguments for probabilism, probability dynamics, and the evidential and subjective interpretations of probability.
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  • 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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  • Strong inconsistency.Gerhard Brewka, Matthias Thimm & Markus Ulbricht - 2019 - Artificial Intelligence 267 (C):78-117.
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  • Qualitative choice logic.Gerhard Brewka, Salem Benferhat & Daniel Le Berre - 2004 - Artificial Intelligence 157 (1-2):203-237.
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  • On decision-theoretic foundations for defaults.Ronen I. Brafman & Nir Friedman - 2001 - Artificial Intelligence 133 (1-2):1-33.
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  • Modeling agents as qualitative decision makers.Ronen I. Brafman & Moshe Tennenholtz - 1997 - Artificial Intelligence 94 (1-2):217-268.
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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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  • Explaining default intuitions using maximum entropy.Rachel A. Bourne - 2003 - Journal of Applied Logic 1 (3-4):255-271.
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  • The lexicographic closure as a revision process.Richard Booth - 2001 - Journal of Applied Non-Classical Logics 11 (1):35-58.
    The connections between nonmonotonic reasoning and belief revision are well-known. A central problem in the area of nonmonotonic reasoning is the problem of default entailment, i.e., when should an item of default information representing “if θ is true then, normally, φ is true” be said to follow from a given set of items of such information. Many answers to this question have been proposed but, surprisingly, virtually none have attempted any explicit connection to belief revision. The aim of this paper (...)
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  • On rational entailment for Propositional Typicality Logic.Richard Booth, Giovanni Casini, Thomas Meyer & Ivan Varzinczak - 2019 - Artificial Intelligence 277 (C):103178.
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  • From iterated revision to iterated contraction: Extending the Harper Identity.Richard Booth & Jake Chandler - 2019 - Artificial Intelligence 277 (C):103171.
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  • A note on the rational closure of knowledge bases with both positive and negative knowledge.R. Booth & J. B. Paris - 1998 - Journal of Logic, Language and Information 7 (2):165-190.
    The notion of the rational closure of a positive knowledge base K of conditional assertions θ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document} |∼ φ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document} (standing for if θ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document} then normally φ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document} $$i$$ \end{document}) was first introduced by Lehmann (1989) and developed by Lehmann and Magidor (...)
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  • Rational closure for all description logics.P. A. Bonatti - 2019 - Artificial Intelligence 274 (C):197-223.
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  • On the logical properties of the nonmonotonic description logic DL N.P. A. Bonatti & L. Sauro - 2017 - Artificial Intelligence 248 (C):85-111.
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  • A new semantics for overriding in description logics.P. A. Bonatti, M. Faella, I. M. Petrova & L. Sauro - 2015 - Artificial Intelligence 222 (C):1-48.
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  • Belief contraction as nonmonotonic inference.Alexander Bochman - 2000 - Journal of Symbolic Logic 65 (2):605-626.
    A notion of an epistemic state is introduced as a generalization of common representations suggested for belief change. Based on it, a new kind of nonmonotonic inference relation corresponding to belief contractions is defined. A number of representation results is established that cover both traditional AGM contractions and contractions that do not satisfy recovery.
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  • Choice logics and their computational properties.Michael Bernreiter, Jan Maly & Stefan Woltran - 2022 - Artificial Intelligence 311 (C):103755.
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  • Nonmonotonic reasoning, conditional objects and possibility theory.Salem Benferhat, Didier Dubois & Henri Prade - 1997 - Artificial Intelligence 92 (1-2):259-276.
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  • Belief functions and default reasoning.Salem Benferhat, Alessandro Saffiotti & Philippe Smets - 2000 - Artificial Intelligence 122 (1--2):1--69.
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  • An Overview of Possibilistic Handling of Default Reasoning, with Experimental Studies.Salem Benferhat, Jean F. Bonnefon & Rui da Silva Neves - 2005 - Synthese 146 (1-2):53-70.
    This paper first provides a brief survey of a possibilistic handling of default rules. A set of default rules of the form, "generally, from α deduce β", is viewed as the family of possibility distributions satisfying constraints expressing that the situation where α and β is true has a greater plausibility than the one where α and ⇁β is true. When considering only the subset of linear possibility distributions, the well-known System P of postulates proposed by Kraus, Lehmann and Magidor, (...)
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  • A modal logic for subjective default reasoning.Shai Ben-David & Rachel Ben-Eliyahu-Zohary - 2000 - Artificial Intelligence 116 (1-2):217-236.
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  • Selecting accepted assertions in partially ordered inconsistent DL-Lite knowledge bases.Sihem Belabbes & Salem Benferhat - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):561-581.
    1. Real-world applications, such as monitoring urban wastewater networks, commonly process large volumes of multi-source, heterogeneous data to support reasoning, query answering and decision-makin...
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  • Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models.Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner & Steven Kutsch - 2021 - Artificial Intelligence 297 (C):103489.
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  • Entailment with near surety of scaled assertions of high conditional probability.Donald Bamber - 2000 - Journal of Philosophical Logic 29 (1):1-74.
    An assertion of high conditional probability or, more briefly, an HCP assertion is a statement of the type: The conditional probability of B given A is close to one. The goal of this paper is to construct logics of HCP assertions whose conclusions are highly likely to be correct rather than certain to be correct. Such logics would allow useful conclusions to be drawn when the premises are not strong enough to allow conclusions to be reached with certainty. This goal (...)
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  • From statistical knowledge bases to degrees of belief.Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern & Daphne Koller - 1996 - Artificial Intelligence 87 (1-2):75-143.
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  • First-order classical modal logic.Horacio Arló-Costa & Eric Pacuit - 2006 - Studia Logica 84 (2):171 - 210.
    The paper focuses on extending to the first order case the semantical program for modalities first introduced by Dana Scott and Richard Montague. We focus on the study of neighborhood frames with constant domains and we offer in the first part of the paper a series of new completeness results for salient classical systems of first order modal logic. Among other results we show that it is possible to prove strong completeness results for normal systems without the Barcan Formula (like (...)
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  • The value of the four values.Ofer Arieli & Arnon Avron - 1998 - Artificial Intelligence 102 (1):97-141.
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  • Reasoning with prioritized information by iterative aggregation of distance functions.Ofer Arieli - 2008 - Journal of Applied Logic 6 (4):589-605.
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  • Reasoning with different levels of uncertainty.Ofer Arieli - 2003 - Journal of Applied Non-Classical Logics 13 (3):317-343.
    We introduce a family of preferential logics that are useful for handling information with different levels of uncertainty. The corresponding consequence relations are nonmonotonic, paraconsistent, adaptive, and rational. It is also shown that the formalisms in this family can be embedded in corresponding four-valued logics with at most three uncertainty levels, and that reasoning with these logics can be simulated by algorithms for processing circumscriptive theories, such as DLS and SCAN.
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  • Distance-based non-deterministic semantics for reasoning with uncertainty.Ofer Arieli & Anna Zamansky - 2009 - Logic Journal of the IGPL 17 (4):325-350.
    Non-deterministic matrices, a natural generalization of many-valued matrices, are semantic structures in which the value assigned to a complex formula may be chosen non-deterministically from a given set of options. We show that by combining non-deterministic matrices and distance-based considerations, one obtains a family of logics that are useful for reasoning with uncertainty. These logics are a conservative extension of those that are obtained by standard distance-based semantics, and so usual distance-based methods are easily simulated within our framework. We investigate (...)
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  • A postulate-driven study of logical argumentation.Ofer Arieli, AnneMarie Borg & Christian Straßer - 2023 - Artificial Intelligence 322 (C):103966.
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  • A Description Logic of Typicality for Conceptual Combination.Antonio Lieto & Gian Luca Pozzato - 2018 - In Antonio Lieto & Gian Luca Pozzato (eds.), Proceedings of ISMIS 18. Springer.
    We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC + TR, based on the notion of rational closure, by inclusions p :: T(C) v D (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive heuristics for concept (...)
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  • Accepted beliefs, revision and bipolarity in the possibilistic framework.Didier Dubois & Henri Prade - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 161--184.
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  • Extending the Harper Identity to Iterated Belief Change.Jake Chandler & Richard Booth - 2016 - In Subbarao Kambhampati (ed.), Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). Palo Alto, USA: AAAI Press / International Joint Conferences on Artificial Intelligence.
    The field of iterated belief change has focused mainly on revision, with the other main operator of AGM belief change theory, i.e. contraction, receiving relatively little attention. In this paper we extend the Harper Identity from single-step change to define iterated contraction in terms of iterated revision. Specifically, just as the Harper Identity provides a recipe for defining the belief set resulting from contracting A in terms of (i) the initial belief set and (ii) the belief set resulting from revision (...)
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  • Logic, Language, Information and Computation: 15th International Workshop, Wollic 2008 Edinburgh, Uk, July 1-4, 2008, Proceedings.Wilfrid Hodges & Ruy de Queiroz (eds.) - 2008 - Berlin and New York: Springer.
    Edited in collaboration with FoLLI, the Association of Logic, Language and Information, this book constitutes the 4th volume of the FoLLI LNAI subline; containing the refereed proceedings of the 15th International Workshop on Logic, Language, Information and Computation, WoLLIC 2008, held in Edinburgh, UK, in July 2008. The 21 revised full papers presented together with the abstracts of 7 tutorials and invited lectures were carefully reviewed and selected from numerous submissions. The papers cover all pertinent subjects in computer science with (...)
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  • Adaptive Logics for Defeasible Reasoning.Christian Straßer - 2014 - Springer.
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  • Non-monotonic logic.G. Aldo Antonelli - 2008 - Stanford Encyclopedia of Philosophy.
    The term "non-monotonic logic" covers a family of formal frameworks devised to capture and represent defeasible inference , i.e., that kind of inference of everyday life in which reasoners draw conclusions tentatively, reserving the right to retract them in the light of further information. Such inferences are called "non-monotonic" because the set of conclusions warranted on the basis of a given knowledge base does not increase (in fact, it can shrink) with the size of the knowledge base itself. This is (...)
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  • Is Classical Mathematics Appropriate for Theory of Computation?Farzad Didehvar - manuscript
    Throughout this paper, we are trying to show how and why our Mathematical frame-work seems inappropriate to solve problems in Theory of Computation. More exactly, the concept of turning back in time in paradoxes causes inconsistency in modeling of the concept of Time in some semantic situations. As we see in the first chapter, by introducing a version of “Unexpected Hanging Paradox”,first we attempt to open a new explanation for some paradoxes. In the second step, by applying this paradox, it (...)
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  • Ordering-based Representations of Rational Inference.Konstantinos Georgatos - 1996 - In Jose Julio Alferes, Luis Moniz Pereira & Ewa Orlowska (eds.), JELIA 96. Springer. pp. 176-191.
    Rational inference relations were introduced by Lehmann and Magidor as the ideal systems for drawing conclusions from a conditional base. However, there has been no simple characterization of these relations, other than its original representation by preferential models. In this paper, we shall characterize them with a class of total preorders of formulas by improving and extending G ̈ardenfors and Makinson’s results f or expectation inference relations. A second representation is application-oriented and is obtained by considering a class of consequence (...)
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