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  1. Iterated Belief Revision.Robert Stalnaker - 2009 - Erkenntnis 70 (2):189-209.
    This is a discussion of the problem of extending the basic AGM belief revision theory to iterated belief revision: the problem of formulating rules, not only for revising a basic belief state in response to potential new information, but also for revising one’s revision rules in response to potential new information. The emphasis in the paper is on foundational questions about the nature of and motivation for various constraints, and about the methodology of the evaluation of putative counterexamples to proposed (...)
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  • Probabilistic Belief Contraction.Raghav Ramachandran, Arthur Ramer & Abhaya C. Nayak - 2012 - Minds and Machines 22 (4):325-351.
    Probabilistic belief contraction has been a much neglected topic in the field of probabilistic reasoning. This is due to the difficulty in establishing a reasonable reversal of the effect of Bayesian conditionalization on a probabilistic distribution. We show that indifferent contraction, a solution proposed by Ramer to this problem through a judicious use of the principle of maximum entropy, is a probabilistic version of a full meet contraction. We then propose variations of indifferent contraction, using both the Shannon entropy measure (...)
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  • Changing minds about climate change: Belief revision, coherence, and emotion.Paul Thagard & Scott Findlay - 2011 - In Erik J. Olson Sebastian Enqvist (ed.), Belief Revision meets Philosophy of Science. Springer. pp. 329--345.
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  • On the logic of iterated belief revision.Adnan Darwiche & Judea Pearl - 1997 - Artificial Intelligence 89 (1-2):1-29.
    We show in this paper that the AGM postulates are too weak to ensure the rational preservation of conditional beliefs during belief revision, thus permitting improper responses to sequences of observations. We remedy this weakness by proposing four additional postulates, which are sound relative to a qualitative version of probabilistic conditioning. Contrary to the AGM framework, the proposed postulates characterize belief revision as a process which may depend on elements of an epistemic state that are not necessarily captured by a (...)
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  • Belief revision in a temporal framework.Giacomo Bonanno - 2008 - In Krzysztof R. Apt & Robert Van Rooij (eds.), New Perspectives on Games and Interactions. Amsterdam University Press.
    The theory of belief revision deals with (rational) changes in beliefs in response to new information. In the literature a distinction has been drawn between belief revision and belief update (see [6]). The former deals with situations where the objective facts describing the world do not change (so that only the beliefs of the agent change over time), while the letter allows for situations where both the facts and the doxastic state of the agent change over time. We focus on (...)
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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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  • Prioritized and Non-prioritized Multiple Change on Belief Bases.Marcelo A. Falappa, Gabriele Kern-Isberner, Maurício D. L. Reis & Guillermo R. Simari - 2012 - Journal of Philosophical Logic 41 (1):77-113.
    In this article we explore multiple change operators, i.e., operators in which the epistemic input is a set of sentences instead of a single sentence. We propose two types of change: prioritized change, in which the input set is fully accepted, and symmetric change, where both the epistemic state and the epistemic input are equally treated. In both kinds of operators we propose a set of postulates and we present different constructions: kernel changes and partial meet changes.
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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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  • The complexity of theory revision.Russell Greiner - 1999 - Artificial Intelligence 107 (2):175-217.
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  • Full Meet Revision on Stratified Bases.Michael Freund - 2001 - Theoria 67 (3):189-213.
    We show how to construct partial nontrivial base revision operators that satisfy the analogues of the AGM postulates and depends on no extra‐logical consideration. These operators, closely related to the full meet revision process, are defined on stratified bases, in which the information can be ranked in logical sequences. Stratified bases, which can be viewed as sets of graded sheaves, are exactly the knowledge bases for which the full meet revision operator satisfies the rationality postulate K*8. As the revision of (...)
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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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  • AGM Theory and Artificial Intelligence.Raúl Carnota & Ricardo Rodríguez - 2011 - In Erik J. Olson Sebastian Enqvist (ed.), Belief Revision meets Philosophy of Science. Springer. pp. 1--42.
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  • Models of misbelief: Integrating motivational and deficit theories of delusions.Ryan McKay, Robyn Langdon & Max Coltheart - 2007 - Consciousness and Cognition 16 (4):932-941.
    The impact of our desires and preferences upon our ordinary, everyday beliefs is well-documented [Gilovich, T. . How we know what isn’t so: The fallibility of human reason in everyday life. New York: The Free Press.]. The influence of such motivational factors on delusions, which are instances of pathological misbelief, has tended however to be neglected by certain prevailing models of delusion formation and maintenance. This paper explores a distinction between two general classes of theoretical explanation for delusions; the motivational (...)
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  • Updating action domain descriptions.Thomas Eiter, Esra Erdem, Michael Fink & Ján Senko - 2010 - Artificial Intelligence 174 (15):1172-1221.
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  • Coherence and Conservatism in the Dynamics of Belief Part I: Finding the right framework.Hans Rott - 1999 - Erkenntnis 50 (2-3):387-412.
    In this paper I discuss the foundations of a formal theory of coherent and conservative belief change that is (a) suitable to be used as a method for constructing iterated changes of belief, (b) sensitive to the history of earlier belief changes, and (c) independent of any form of dispositional coherence. I review various ways to conceive the relationship between the beliefs actually held by an agent and her belief change strategies (that also deal with potential belief sets), show the (...)
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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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  • Krister Segerberg on Logic of Actions.Robert Trypuz (ed.) - 2013 - Dordrecht, Netherland: Springer Verlag.
    Belief revision from the point of view of doxastic logic. Logic Journal of the IGPL, 3(4), 535–553. Segerberg, K. (1995). Conditional action. In G. Crocco, L. Fariñas, & A. Herzig (Eds.), Conditionals: From philosophy to computer science, Studies ...
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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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  • 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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  • Uncertainty, Rationality, and Agency.Wiebe van der Hoek - 2006 - Dordrecht, Netherland: Springer.
    This volume concerns Rational Agents - humans, players in a game, software or institutions - which must decide the proper next action in an atmosphere of partial information and uncertainty. The book collects formal accounts of Uncertainty, Rationality and Agency, and also of their interaction. It will benefit researchers in artificial systems which must gather information, reason about it and then make a rational decision on which action to take.
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  • Temporal Interaction of Information and Belief.Giacomo Bonanno - 2007 - Studia Logica 86 (3):375-401.
    The temporal updating of an agent’s beliefs in response to a flow of information is modeled in a simple modal logic that, for every date t, contains a normal belief operator B t and a non-normal information operator I t which is analogous to the ‘only knowing’ operator discussed in the computer science literature. Soundness and completeness of the logic are proved and the relationship between the proposed logic, the AGM theory of belief revision and the notion of plausibility is (...)
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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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  • A Simple Modal Logic for Belief Revision.Giacomo Bonanno - 2005 - Synthese 147 (2):193-228.
    We propose a modal logic based on three operators, representing intial beliefs, information and revised beliefs. Three simple axioms are used to provide a sound and complete axiomatization of the qualitative part of Bayes’ rule. Some theorems of this logic are derived concerning the interaction between current beliefs and future beliefs. Information flows and iterated revision are also discussed.
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  • A Simple Nonmonotonic Logic as a Model of Belief Change.Masaharu Mizumoto - 2003 - Annals of the Japan Association for Philosophy of Science 12 (1):25-52.
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  • Belief Fusion: Aggregating Pedigreed Belief States. [REVIEW]Pedrito Maynard-Reid II & Yoav Shoham - 2001 - Journal of Logic, Language and Information 10 (2):183-209.
    We introduce a new operator – belief fusion– which aggregates the beliefs of two agents, each informed by a subset of sources ranked by reliability. In the process we definepedigreed belief states, which enrich standard belief states with the source of each piece of information. We note that the fusion operator satisfies the invariants of idempotence, associativity, and commutativity. As a result, it can be iterated without difficulty. We also define belief diffusion; whereas fusion generally produces a belief state with (...)
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  • Once More about Moore’s Paradox in Epistemic Logic and Belief Change Theory.Marek Lechniak - 2018 - Roczniki Filozoficzne 66 (3):77-99.
    In this article, it was first presented Moore’s paradox per se and after the author focused on the logical perspective — at first he analyzed these considerations in the field of so-called standard epistemic logic and after on the formal theory of belief change.
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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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  • A Logical Splitting Strategy for the Belief Structure of Agents.Xiaocong Fan & John Yen - 2003 - Journal of Applied Non-Classical Logics 13 (2):199-221.
    We prove that for any finite deduction structure there exists a unique concise-widest chain-preserved split. Based on this result, we propose a logical splitting strategy which enables an agent to split its belief structure such that all the original inference chains can be preserved. The significance of such logical splitting at least is four-fold: It can be used by an agent to separate its concerns appropriately, or even create smaller and smarter clones which could save time and efforts in their (...)
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  • Controlled revision - an algorithmic approach for belief revision.Gabriella Pigozzi - manuscript
    This paper provides algorithmic options for belief revision of a database receiving an infinite stream of inputs. At stage , the database is ¡£¢ , receiving the input ¤ ¢ . The revision algorithms for moving to the new database ¡ ¢¦¥¨§© ¡ ¢ ¤ ¢ take into account the history of previous revisions actually executed as well as possible revision options which were discarded at the time but may now be pursued. The appropriate methodology for carrying this out is (...)
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