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  1. (1 other version)On the logic of theory change: Partial meet contraction and revision functions.Carlos E. Alchourrón, Peter Gärdenfors & David Makinson - 1985 - Journal of Symbolic Logic 50 (2):510-530.
    This paper extends earlier work by its authors on formal aspects of the processes of contracting a theory to eliminate a proposition and revising a theory to introduce a proposition. In the course of the earlier work, Gardenfors developed general postulates of a more or less equational nature for such processes, whilst Alchourron and Makinson studied the particular case of contraction functions that are maximal, in the sense of yielding a maximal subset of the theory (or alternatively, of one of (...)
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  • Two modellings for theory change.Adam Grove - 1988 - Journal of Philosophical Logic 17 (2):157-170.
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  • Dynamic logic for belief revision.Johan van Benthem - 2007 - Journal of Applied Non-Classical Logics 17 (2):129-155.
    We show how belief revision can be treated systematically in the format of dynamicepistemic logic, when operators of conditional belief are added. The core engine consists of definable update rules for changing plausibility relations between worlds, which have been proposed independently in the dynamic-epistemic literature on preference change. Our analysis yields two new types of modal result. First, we obtain complete logics for concrete mechanisms of belief revision, based on compositional reduction axioms. Next, we show how various abstract postulates for (...)
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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 revisions and the Ramsey test for conditionals.Peter Gärdenfors - 1986 - Philosophical Review 95 (1):81-93.
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  • Iteration of conditionals and the Ramsey test.Isaac Levi - 1988 - Synthese 76 (1):49 - 81.
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  • Iterated revision and minimal change of conditional beliefs.Craig Boutilier - 1996 - Journal of Philosophical Logic 25 (3):263 - 305.
    We describe a model of iterated belief revision that extends the AGM theory of revision to account for the effect of a revision on the conditional beliefs of an agent. In particular, this model ensures that an agent makes as few changes as possible to the conditional component of its belief set. Adopting the Ramsey test, minimal conditional revision provides acceptance conditions for arbitrary right-nested conditionals. We show that problem of determining acceptance of any such nested conditional can be reduced (...)
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  • Foundations of a functional approach to knowledge representation.Hector J. Levesque - 1984 - Artificial Intelligence 23 (2):155-212.
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  • Iterated belief change based on epistemic entrenchment.Abhaya C. Nayak - 1994 - Erkenntnis 41 (3):353-390.
    In this paper it is argued that, in order to solve the problem of iterated belief change, both the belief state and its input should be represented as epistemic entrenchment (EE) relations. A belief revision operation is constructed that updates a given EE relation to a new one in light of an evidential EE relation. It is shown that the operation in question satisfies generalized versions of the Gärdenfors revision postulates. The account offered is motivated by Spohn's ordinal conditionalization functions, (...)
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  • Prolegomena to dynamic logic for belief revision.Hans P. Van Ditmarsch - 2005 - Synthese 147 (2):229-275.
    In ‘belief revision’ a theory is revised with a formula φ resulting in a revised theory . Typically, is in , one has to give up belief in by a process of retraction, and φ is in . We propose to model belief revision in a dynamic epistemic logic. In this setting, we typically have an information state (pointed Kripke model) for the theory wherein the agent believes the negation of the revision formula, i.e., wherein is true. The revision with (...)
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  • Irrevocable Belief Revision in Dynamic Doxastic Logic.Krister Segerberg - 1998 - Notre Dame Journal of Formal Logic 39 (3):287-306.
    In this paper we present a new modeling for belief revision that is what we term irrevocable. This modeling is of philosophical interest since it captures some features of suppositional reasoning, and of formal interest since it is closely connected with AGM, yet provides for iterated belief revision. The analysis is couched in terms of dynamic doxastic logic.
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  • Knowledge, action, and the frame problem.Richard B. Scherl & Hector J. Levesque - 2003 - Artificial Intelligence 144 (1-2):1-39.
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  • Dynamic belief revision operators.Abhaya C. Nayak, Maurice Pagnucco & Pavlos Peppas - 2003 - Artificial Intelligence 146 (2):193-228.
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  • Iterated belief revision, revised.Yi Jin & Michael Thielscher - 2007 - Artificial Intelligence 171 (1):1-18.
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  • Reasoning about noisy sensors and effectors in the situation calculus.Fahiem Bacchus, Joseph Y. Halpern & Hector J. Levesque - 1999 - Artificial Intelligence 111 (1-2):171-208.
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  • How to progress a database.Fangzhen Lin & Ray Reiter - 1997 - Artificial Intelligence 92 (1-2):131-167.
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  • Iterated belief change in the situation calculus.Steven Shapiro, Maurice Pagnucco, Yves Lespérance & Hector J. Levesque - 2011 - Artificial Intelligence 175 (1):165-192.
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  • From situation calculus to fluent calculus: State update axioms as a solution to the inferential frame problem.Michael Thielscher - 1999 - Artificial Intelligence 111 (1-2):277-299.
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  • A unified model of qualitative belief change: a dynamical systems perspective.Craig Boutilier - 1998 - Artificial Intelligence 98 (1-2):281-316.
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  • A semantic characterization of a useful fragment of the situation calculus with knowledge.Gerhard Lakemeyer & Hector J. Levesque - 2011 - Artificial Intelligence 175 (1):142-164.
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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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  • How to progress a database III.Stavros Vassos & Hector J. Levesque - 2013 - Artificial Intelligence 195 (C):203-221.
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  • Belief revision: A critique. [REVIEW]Nir Friedman & Joseph Y. Halpern - 1999 - Journal of Logic, Language and Information 8 (4):401-420.
    We examine carefully the rationale underlying the approaches to belief change taken in the literature, and highlight what we view as methodological problems. We argue that to study belief change carefully, we must be quite explicit about the ontology or scenario underlying the belief change process. This is something that has been missing in previous work, with its focus on postulates. Our analysis shows that we must pay particular attention to two issues that have often been taken for granted: the (...)
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