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  1. "If Oswald had not killed Kennedy" – Spohn on Counterfactuals.Hans Rott - 2016 - In Wolfgang Freitag, Hans Rott, Holger Sturm & Alexandra Zinke (eds.), Von Rang und Namen. Philosophical Essays in Honour of Wolfgang Spohn. Münster, Germany: Mentis. pp. 379–399.
    Wolfgang Spohn's theory of ranking functions is an elegant and powerful theory of the structure and dynamics of doxastic states. In two recent papers, Spohn has applied it to the analysis of conditionals, claiming to have presented a unified account of indicative and subjunctive (counterfactual) conditionals. I argue that his analysis fails to account for counterfactuals that refer to indirect causes. The strategy of taking the transitive closure that Spohn employs in the theory of causation is not available for counterfactuals. (...)
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  • From ordering-based nonmonotonic reasoning to conditional logics.Luis Fariñas del Cerro, Andreas Herzig & Jérôme Lang - 1994 - Artificial Intelligence 66 (2):375-393.
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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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  • 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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  • Logical representation and fusion of prioritized information based on guaranteed possibility measures: Application to the distance-based merging of classical bases.Salem Benferhat & Souhila Kaci - 2003 - Artificial Intelligence 148 (1-2):291-333.
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  • A practical approach to revising prioritized knowledge bases.Salem Benferhat, Didier Dubois, Henri Prade & Mary-Anne Williams - 2002 - Studia Logica 70 (1):105-130.
    This paper investigates simple syntactic methods for revising prioritized belief bases, that are semantically meaningful in the frameworks of possibility theory and of Spohn''s ordinal conditional functions. Here, revising prioritized belief bases amounts to conditioning a distribution function on interpretations. The input information leading to the revision of a knowledge base can be sure or uncertain. Different types of scales for priorities are allowed: finite vs. infinite, numerical vs. ordinal. Syntactic revision is envisaged here as a process which transforms a (...)
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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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  • Degrees all the way down: Beliefs, non-beliefs and disbeliefs.Hans Rott - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 301--339.
    This paper combines various structures representing degrees of belief, degrees of disbelief, and degrees of non-belief (degrees of expectations) into a unified whole. The representation uses relations of comparative necessity and possibility, as well as non-probabilistic functions assigning numerical values of necessity and possibility. We define all-encompassing necessity structures which have weak expectations (mere hypotheses, guesses, conjectures, etc.) occupying the lowest ranks and very strong, ineradicable ('a priori') beliefs occupying the highest ranks. Structurally, there are no differences from the top (...)
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  • Non-additive degrees of belief.Rolf Haenni - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer. pp. 121--159.
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  • The Dynamics of Thought.Peter Gardenfors - 2005 - Dordrecht, Netherland: Springer.
    This volume is a collection of some of the most important philosophical papers by Peter Gärdenfors. Spanning a period of more than 20 years of his research, they cover a wide ground of topics, from early works on decision theory, belief revision and nonmonotonic logic to more recent work on conceptual spaces, inductive reasoning, semantics and the evolutions of thinking. Many of the papers have only been published in places that are difficult to access. The common theme of all the (...)
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  • Solving conflicts in information merging by a flexible interpretation of atomic propositions.Steven Schockaert & Henri Prade - 2011 - Artificial Intelligence 175 (11):1815-1855.
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  • Normische gesetzeshypothesen und die wissenschaftsphilosophische bedeutung Des nichtmonotonen schliessens.Gerhard Schurz - 2001 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 32 (1):65-107.
    Normic Laws and the Significance of Nonmonotonic Reasoning for Philosophy of Science. Normic laws have the form ‘if A then normally B’. They have been discovered in the explanation debate, but were considered as empirically vacuous (§1). I argue that the prototypical (or ideal) normality of normic laws implies statistical normality (§2), whence normic laws have empirical content. In §3–4 I explain why reasoning from normic laws is nonmonotonic, and why the understanding of the individual case is so important here. (...)
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  • Dynamic reasoning with qualified syllogisms.Daniel G. Schwartz - 1997 - Artificial Intelligence 93 (1-2):103-167.
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  • Modellings for belief change: Prioritization and entrenchment.Hans Rott - 1992 - Theoria 58 (1):21-57.
    We distinguish the set of explicit beliefs of a reasoner, his "belief base", from the beliefs that are merely implicit. Syntax-based belief change governed by the structure of the belief base and the ranking ("prioritization") of its elements is reconstructed with the help of an epistemic entrenchment relation in the style of Gärdenfors and Makinson. Though priorities are essentially different from entrenchments, distinguished relations of epistemic entrenchment may be obtained from prioritized belief bases by a number of different constructions. An (...)
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  • Three Approaches to Iterated Belief Contraction.Raghav Ramachandran, Abhaya C. Nayak & Mehmet A. Orgun - 2012 - Journal of Philosophical Logic 41 (1):115-142.
    In this paper we investigate three approaches to iterated contraction, namely: the Moderate (or Priority) contraction, the Natural (or Conservative) contraction, and the Lexicographic contraction. We characterise these three contraction functions using certain, arguably plausible, properties of an iterated contraction function. While we provide the characterisation of the first two contraction operations using rationality postulates of the standard variety for iterated contraction, we found doing the same for the Lexicographic contraction more challenging. We provide its characterisation using a variation of (...)
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  • Preferences and explanations.Ramón Pino-Pérez & Carlos Uzcátegui - 2003 - Artificial Intelligence 149 (1):1-30.
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  • On knowledge evolution: acquisition, revision, contraction.Eliezer L. Lozinskii - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):177-211.
    ABSTRACT We consider evolution of knowledge bases caused by a sequence of basic steps of acquisition of a new information, either consistent or inconsistent with the original system. To make this process comply with the Principe of Minimal Change, a special evidence metric is introduced for measuring distance between states of knowledge. Then a novel semantics of knowledge bases is developed suggested by the heuristics of weighted maximally consistent subsets. The latter is efficiently applied to the processes of consistent and (...)
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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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  • Maxi-Adjustment and Possibilistic Deduction for Adaptive Information Agents.Raymond Lau, Arthur H. M. ter Hofstede & Peter D. Bruza - 2001 - Journal of Applied Non-Classical Logics 11 (1-2):169-201.
    The expressive power of logic is believed to be able to model most of the fundamental aspects of information retrieval. However, it is also understood that classical logic is ineffective for handling partiality and uncertainty in IR. Applying non-classical logics such as the AGM belief revision logic and the possibilistic logic to adaptive information retrieval is appealing since they provide a powerful and rigorous framework to model partiality and uncertainty inherent in any IR processes. The maxi-adjustment method, which is an (...)
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  • Epistemic entrenchment and arithmetical hierarchy.Petr Hájek - 1993 - Artificial Intelligence 62 (1):79-87.
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  • How not to change the theory of theory change: A reply to Tennant.Sven Ove Hansson & Hans Rott - 1995 - British Journal for the Philosophy of Science 46 (3):361-380.
    A number of seminal papers on the logic of belief change by Alchourrön, Gärden-fors, and Makinson have given rise to what is now known as the AGM paradigm. The present discussion note is a response to Neil Tennant's [1994], which aims at a critical appraisal of the AGM approach and the introduction of an alternative approach. We show that important parts of Tennants's critical remarks are based on misunderstandings or on lack of information. In the course of doing this, we (...)
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  • Beyond recovery? A reply to Tennant.Sven-ove Hansson & Hans Rott - 1998 - Erkenntnis 49 (3):387-392.
    In his paper ‘Changing the Theory of Theory Change: Reply to My Critics’, N. Tennant (1997b) reacts to the critical reception of an earlier article of his. The present note rectifies some of the most serious misrepresentations in Tennant's reply.
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  • Nonmonotonic inference based on expectations.Peter Gärdenfors & David Makinson - 1994 - Artificial Intelligence 65 (2):197-245.
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  • To Preference via Entrenchment.Konstantinos Georgatos - 1999 - Annals of Pure and Applied Logic 96 (1--3):141--155.
    We introduce a simple generalization of Gardenfors and Makinson’s epistemic entrenchment called partial entrenchment. We show that preferential inference can be generated as the sceptical counterpart of an inference mechanism defined directly on partial entrenchment.
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  • Revision by Comparison.Eduardo Fermé & Hans Rott - 2004 - Artificial Intelligence 157 (1):5-47.
    Since the early 1980s, logical theories of belief revision have offered formal methods for the transformation of knowledge bases or “corpora” of data and beliefs. Early models have dealt with unconditional acceptance and integration of potentially belief-contravening pieces of information into the existing corpus. More recently, models of “non-prioritized” revision were proposed that allow the agent rationally to refuse to accept the new information. This paper introduces a refined method for changing beliefs by specifying constraints on the relative plausibility of (...)
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  • AGM 25 Years: Twenty-Five Years of Research in Belief Change.Eduardo Fermé & Sven Ove Hansson - 2011 - Journal of Philosophical Logic 40 (2):295 - 331.
    The 1985 paper by Carlos Alchourrón (1931–1996), Peter Gärdenfors, and David Makinson (AGM), "On the Logic of Theory Change: Partial Meet Contraction and Revision Functions" was the starting-point of a large and rapidly growing literature that employs formal models in the investigation of changes in belief states and databases. In this review, the first twentyfive years of this development are summarized. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in (...)
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  • AGM 25 Years: Twenty-Five Years of Research in Belief Change.Eduardo Fermé & Sven Ove Hansson - 2011 - Journal of Philosophical Logic 40 (2):295-331.
    The 1985 paper by Carlos Alchourrón, Peter Gärdenfors, and David Makinson, “On the Logic of Theory Change: Partial Meet Contraction and Revision Functions” was the starting-point of a large and rapidly growing literature that employs formal models in the investigation of changes in belief states and databases. In this review, the first twenty-five years of this development are summarized. The topics covered include equivalent characterizations of AGM operations, extended representations of the belief states, change operators not included in the original (...)
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  • The Strength of Desires: A Logical Approach.Didier Dubois, Emiliano Lorini & Henri Prade - 2017 - Minds and Machines 27 (1):199-231.
    The aim of this paper is to propose a formal approach to reasoning about desires, understood as logical propositions which we would be pleased to make true, also acknowledging the fact that desire is a matter of degree. It is first shown that, at the static level, desires should satisfy certain principles that differ from those to which beliefs obey. In this sense, from a static perspective, the logic of desires is different from the logic of beliefs. While the accumulation (...)
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  • Knowledge-driven versus data-driven logics.Didier Dubois, Petr Hájek & Henri Prade - 2000 - Journal of Logic, Language and Information 9 (1):65--89.
    The starting point of this work is the gap between two distinct traditions in information engineering: knowledge representation and data - driven modelling. The first tradition emphasizes logic as a tool for representing beliefs held by an agent. The second tradition claims that the main source of knowledge is made of observed data, and generally does not use logic as a modelling tool. However, the emergence of fuzzy logic has blurred the boundaries between these two traditions by putting forward fuzzy (...)
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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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  • Belief revision and incongruity: is it a joke?Florence Dupin de Saint-Cyr & Henri Prade - 2023 - Journal of Applied Non-Classical Logics 33 (3-4):467-494.
    ‘Incongruity is never superfluous’Thea Arbee (2016) Is the superfluous a (new) modality?11. Even if much has been written about ingredients that trigger laughter, researchers are still far from hav...
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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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