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  1. Safe Contraction Revisited.Hans Rott & Sven Ove Hansson - 2014 - In Sven Ove Hansson (ed.), David Makinson on Classical Methods for Non-Classical Problems (Outstanding Contributions to Logic, Vol. 3). Springer. pp. 35–70.
    Modern belief revision theory is based to a large extent on partial meet contraction that was introduced in the seminal article by Carlos Alchourrón, Peter Gärdenfors, and David Makinson that appeared in 1985. In the same year, Alchourrón and Makinson published a significantly different approach to the same problem, called safe contraction. Since then, safe contraction has received much less attention than partial meet contraction. The present paper summarizes the current state of knowledge on safe contraction, provides some new results (...)
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  • Reapproaching Ramsey: Conditionals and Iterated Belief Change in the Spirit of AGM.Hans Rott - 2011 - Journal of Philosophical Logic 40 (2):155-191.
    According to the Ramsey Test, conditionals reflect changes of beliefs: α > β is accepted in a belief state iff β is accepted in the minimal revision of it that is necessary to accommodate α. Since Gärdenfors’s seminal paper of 1986, a series of impossibility theorems (“triviality theorems”) has seemed to show that the Ramsey test is not a viable analysis of conditionals if it is combined with AGM-type belief revision models. I argue that it is possible to endorse that (...)
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  • Bounded Revision: Two-Dimensional Belief Change Between Conservative and Moderate Revision.Hans Rott - 2012 - Journal of Philosophical Logic 41 (1):173-200.
    This paper presents the model of ‘bounded revision’ that is based on two-dimensional revision functions taking as arguments pairs consisting of an input sentence and a reference sentence. The key idea is that the input sentence is accepted as far as (and just a little further than) the reference sentence is ‘cotenable’ with it. Bounded revision satisfies the AGM axioms as well as the Same Beliefs Condition (SBC) saying that the set of beliefs accepted after the revision does not depend (...)
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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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  • 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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  • Tracking probabilistic truths: a logic for statistical learning.Alexandru Baltag, Soroush Rafiee Rad & Sonja Smets - 2021 - Synthese 199 (3-4):9041-9087.
    We propose a new model for forming and revising beliefs about unknown probabilities. To go beyond what is known with certainty and represent the agent’s beliefs about probability, we consider a plausibility map, associating to each possible distribution a plausibility ranking. Beliefs are defined as in Belief Revision Theory, in terms of truth in the most plausible worlds. We consider two forms of conditioning or belief update, corresponding to the acquisition of two types of information: learning observable evidence obtained by (...)
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  • Logic Based Merging.Sébastien Konieczny & Ramón Pino Pérez - 2011 - Journal of Philosophical Logic 40 (2):239-270.
    Belief merging aims at combining several pieces of information coming from different sources. In this paper we review the works on belief merging of propositional bases. We discuss the relationship between merging, revision, update and confluence, and some links between belief merging and social choice theory. Finally we mention the main generalizations of these works in other logical frameworks.
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  • David Makinson on Classical Methods for Non-Classical Problems.Sven Ove Hansson (ed.) - 2013 - Dordrecht, Netherland: Springer.
    The volume analyses and develops David Makinson’s efforts to make classical logic useful outside its most obvious application areas. The book contains chapters that analyse, appraise, or reshape Makinson’s work and chapters that develop themes emerging from his contributions. These are grouped into major areas to which Makinsons has made highly influential contributions and the volume in its entirety is divided into four sections, each devoted to a particular area of logic: belief change, uncertain reasoning, normative systems and the resources (...)
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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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  • 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 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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  • 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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  • Representing states in iterated belief revision.Paolo Liberatore - 2024 - Artificial Intelligence 336 (C):104200.
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  • Iterated belief revision, revised.Yi Jin & Michael Thielscher - 2007 - Artificial Intelligence 171 (1):1-18.
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  • Towards a “Sophisticated” Model of Belief Dynamics. Part II: Belief Revision.Brian Hill - 2008 - Studia Logica 89 (3):291-323.
    In the companion paper (Towards a “sophisticated” model of belief dynamics. Part I), a general framework for realistic modelling of instantaneous states of belief and of the operations involving them was presented and motivated. In this paper, the framework is applied to the case of belief revision. A model of belief revision shall be obtained which, firstly, recovers the Gärdenfors postulates in a well-specified, natural yet simple class of particular circumstances; secondly, can accommodate iterated revisions, recovering several proposed revision operators (...)
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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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  • Interventions and belief change in possibilistic graphical models.Salem Benferhat - 2010 - Artificial Intelligence 174 (2):177-189.
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