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  1. Non-Measurability, Imprecise Credences, and Imprecise Chances.Yoaav Isaacs, Alan Hájek & John Hawthorne - 2021 - Mind 131 (523):892-916.
    – We offer a new motivation for imprecise probabilities. We argue that there are propositions to which precise probability cannot be assigned, but to which imprecise probability can be assigned. In such cases the alternative to imprecise probability is not precise probability, but no probability at all. And an imprecise probability is substantially better than no probability at all. Our argument is based on the mathematical phenomenon of non-measurable sets. Non-measurable propositions cannot receive precise probabilities, but there is a natural (...)
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  • (1 other version)On Strengthening the Logic of Iterated Belief Revision: Proper Ordinal Interval Operators.Jake Chandler & Richard Booth - 2018 - In Michael Thielscher, Francesca Toni & Frank Wolter (eds.), Proceedings of the Sixteenth International Conference on Principles of Knowledge Representation and Reasoning (KR2018). pp. 210-219.
    Darwiche and Pearl’s seminal 1997 article outlined a number of baseline principles for a logic of iterated belief revision. These principles, the DP postulates, have been supplemented in a number of alternative ways. Most suggestions have resulted in a form of ‘reductionism’ that identifies belief states with orderings of worlds. However, this position has recently been criticised as being unacceptably strong. Other proposals, such as the popular principle (P), aka ‘Independence’, characteristic of ‘admissible’ operators, remain commendably more modest. In this (...)
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  • A New Psychologism in Logic? Reflections from the Point of View of Belief Revision.Hans Rott - 2008 - Studia Logica 88 (1):113-136.
    This paper addresses the question whether the past couple of decades of formal research in belief revision offers evidence of a new psychologism in logic. In the first part I examine five potential arguments in favour of this thesis and find them all wanting. In the second part of the paper I argue that belief revision research has climbed up a hierarchy of models for the change of doxastic states that appear to be clearly normative at the bottom, but are (...)
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  • Belief Revision I: The AGM Theory.Franz Huber - 2013 - Philosophy Compass 8 (7):604-612.
    Belief revision theory studies how an ideal doxastic agent should revise her beliefs when she receives new information. In part I I will first present the AGM theory of belief revision (Alchourrón & Gärdenfors & Makinson 1985). Then I will focus on the problem of iterated belief revisions.
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  • Belief Revision II: Ranking Theory.Franz Huber - 2013 - Philosophy Compass 8 (7):613-621.
    Belief revision theory studies how an ideal doxastic agent should revise her beliefs when she receives new information. In part I, I have first presented the AGM theory of belief revision. Then I have focused on the problem of iterated belief revisions. In part II, I will first present ranking theory (Spohn 1988). Then I will show how it solves the problem of iterated belief revisions. I will conclude by sketching two areas of future research.
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  • On the measure of conflicts: Shapley Inconsistency Values.Anthony Hunter & Sébastien Konieczny - 2010 - Artificial Intelligence 174 (14):1007-1026.
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  • Preservation, Commutativity and Modus Ponens: Two Recent Triviality Results.Jake Chandler - 2017 - Mind 126 (502):579-602.
    In a recent pair of publications, Richard Bradley has offered two novel no-go theorems involving the principle of Preservation for conditionals, which guarantees that one’s prior conditional beliefs will exhibit a certain degree of inertia in the face of a change in one’s non-conditional beliefs. We first note that Bradley’s original discussions of these results—in which he finds motivation for rejecting Preservation, first in a principle of Commutativity, then in a doxastic analogue of the rule of modus ponens —are problematic (...)
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  • Conditional Ranking Revision: Iterated Revision with Sets of Conditionals.Emil Weydert - 2012 - Journal of Philosophical Logic 41 (1):237-271.
    In the context of a general framework for belief dynamics which interprets revision as doxastic constraint satisfaction, we discuss a proposal for revising quasi-probabilistic belief measures with finite sets of graded conditionals. The belief states are ranking measures with divisible values (generalizing Spohn’s epistemology), and the conditionals are interpreted as ranking constraints. The approach is inspired by the minimal information paradigm and based on the principle-guided canonical construction of a ranking model of the input conditionals. This is achieved by extending (...)
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  • AGM Belief Revision in Dynamic Games.Giacomo Bonanno - 2011 - In K. Apt (ed.), Proceeding of the 13th Conference on Theoretical Aspects of Rationality and Knowledge. ACM.
    Within the context of extensive-form (or dynamic) games, we use choice frames to represent the initial beliefs of a player as well as her disposition to change those beliefs when she learns that an information set of hers has been reached. As shown in [5], in order for the revision operation to be consistent with the AGM postulates [1], the player’s choice frame must be rationalizable in terms of a total pre-order on the set of histories. We consider four properties (...)
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  • Iterated AGM Revision Based on Probability Revision.Sven Ove Hansson - 2023 - Journal of Logic, Language and Information 32 (4):657-675.
    Close connections between probability theory and the theory of belief change emerge if the codomain of probability functions is extended from the real-valued interval [0, 1] to a hyperreal interval with the same limits. Full beliefs are identified as propositions with a probability at most infinitesimally smaller than 1. Full beliefs can then be given up, and changes in the set of full beliefs follow a pattern very close to that of AGM revision. In this contribution, iterated revision is investigated. (...)
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  • Belief Change in Branching Time: AGM-consistency and Iterated Revision. [REVIEW]Giacomo Bonanno - 2012 - Journal of Philosophical Logic 41 (1):201-236.
    We study belief change in the branching-time structures introduced in Bonanno (Artif Intell 171:144–160, 2007 ). First, we identify a property of branching-time frames that is equivalent (when the set of states is finite) to AGM-consistency, which is defined as follows. A frame is AGM-consistent if the partial belief revision function associated with an arbitrary state-instant pair and an arbitrary model based on that frame can be extended to a full belief revision function that satisfies the AGM postulates. Second, we (...)
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  • NO Revision and NO Contraction.Gregory Wheeler & Marco Alberti - 2011 - Minds and Machines 21 (3):411-430.
    One goal of normative multi-agent system theory is to formulate principles for normative system change that maintain the rule-like structure of norms and preserve links between norms and individual agent obligations. A central question raised by this problem is whether there is a framework for norm change that is at once specific enough to capture this rule-like behavior of norms, yet general enough to support a full battery of norm and obligation change operators. In this paper we propose an answer (...)
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  • Iterated Descriptor Revision and the Logic of Ramsey Test Conditionals.Sven Ove Hansson - 2016 - Journal of Philosophical Logic 45 (4):429-450.
    Two of the major problems in AGM-style belief revision, namely the difficulties in accounting for iterated change and for Ramsey test conditionals, have satisfactory solutions in descriptor revision. In descriptor revision, the input is a metalinguistic sentence specifying the success condition of the operation. The choice mechanism selects one of the potential outcomes in which the success condition is satisfied. Iteration of this operation is unproblematic. Ramsey test conditionals can be introduced without giving rise to the paradoxical results that they (...)
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  • (1 other version)On strengthening the logic of iterated belief revision: Proper ordinal interval operators.Richard Booth & Jake Chandler - 2020 - Artificial Intelligence 285 (C):103289.
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  • Descriptor Revision: Belief Change Through Direct Choice.Sven Ove Hansson - 2017 - Cham, Switzerland: Springer Verlag.
    This book provides a critical examination of how the choice of what to believe is represented in the standard model of belief change. In particular the use of possible worlds and infinite remainders as objects of choice is critically examined. Descriptors are introduced as a versatile tool for expressing the success conditions of belief change, addressing both local and global descriptor revision. The book presents dynamic descriptors such as Ramsey descriptors that convey how an agent’s beliefs tend to be changed (...)
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  • How to Revise a Total Preorder.Richard Booth & Thomas Meyer - 2011 - Journal of Philosophical Logic 40 (2):193 - 238.
    Most approaches to iterated belief revision are accompanied by some motivation for the use of the proposed revision operator (or family of operators), and typically encode enough information in the epistemic state of an agent for uniquely determining one-step revision. But in those approaches describing a family of operators there is usually little indication of how to proceed uniquely after the first revision step. In this paper we contribute towards addressing that deficiency by providing a formal framework which goes beyond (...)
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  • Belief base contraction by belief accrual.Cristhian A. D. Deagustini, M. Vanina Martinez, Marcelo A. Falappa & Guillermo R. Simari - 2019 - Artificial Intelligence 275 (C):78-103.
    The problem of knowledge evolution has received considerable attention over the years. Mainly, the study of the dynamics of knowledge has been addressed in the area of Belief Revision, a field emerging as the convergence of the efforts in Philosophy, Logic, and more recently Computer Science, where research efforts usually involve “flat” knowledge bases where there is no additional information about the formulas stored in it. Even when this may be a good fit for particular applications, in many real-world scenarios (...)
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  • Belief revision and projection in the epistemic situation calculus.Christoph Schwering, Gerhard Lakemeyer & Maurice Pagnucco - 2017 - Artificial Intelligence 251 (C):62-97.
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  • Belief Revision and Computational Argumentation: A Critical Comparison.Pietro Baroni, Eduardo Fermé, Massimiliano Giacomin & Guillermo Ricardo Simari - 2022 - Journal of Logic, Language and Information 31 (4):555-589.
    This paper aims at comparing and relating belief revision and argumentation as approaches to model reasoning processes. Referring to some prominent literature references in both fields, we will discuss their (implicit or explicit) assumptions on the modeled processes and hence commonalities and differences in the forms of reasoning they are suitable to deal with. The intended contribution is on one hand assessing the (not fully explored yet) relationships between two lively research fields in the broad area of defeasible reasoning and (...)
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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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  • 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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  • Revision operators with compact representations.Pavlos Peppas, Mary-Anne Williams & Grigoris Antoniou - 2024 - Artificial Intelligence 329 (C):104080.
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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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  • 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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