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  1. Representing the Zoo World and the Traffic World in the language of the causal calculator.Varol Akman, Selim T. Erdoğan, Joohyung Lee, Vladimir Lifschitz & Hudson Turner - 2004 - Artificial Intelligence 153 (1-2):105-140.
    The work described in this report is motivated by the desire to test the expressive possibilities of action language C+. The Causal Calculator (CCalc) is a system that answers queries about action domains described in a fragment of that language. The Zoo World and the Traffic World have been proposed by Erik Sandewall in his Logic Modelling Workshop—an environment for communicating axiomatizations of action domains of nontrivial size. -/- The Zoo World consists of several cages and the exterior, gates between (...)
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  • On the complexity of propositional knowledge base revision, updates, and counterfactuals.Thomas Eiter & Georg Gottlob - 1992 - Artificial Intelligence 57 (2-3):227-270.
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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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  • Default reasoning from conditional knowledge bases: Complexity and tractable cases.Thomas Eiter & Thomas Lukasiewicz - 2000 - Artificial Intelligence 124 (2):169-241.
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  • Nonmonotonic causal theories.Joohyung Lee, Vladimir Lifschitz & Hudson Turner - 2004 - Artificial Intelligence 153 (1-2):49-104.
    cuted actions. It has been applied to several challenge problems in the theory of commonsense knowledge. We study the relationship between this formalism and other work on nonmonotonic reasoning and knowl-.
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  • 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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  • On the revision of preferences and rational inference processes.Michael Freund - 2004 - Artificial Intelligence 152 (1):105-137.
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  • The complexity of belief update.Paolo Liberatore - 2000 - Artificial Intelligence 119 (1-2):141-190.
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  • Knowledge updates: Semantics and complexity issues.Chitta Baral & Yan Zhang - 2005 - Artificial Intelligence 164 (1-2):209-243.
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  • Knowledge-level analysis of belief base operations.Sven Ove Hansson - 1996 - Artificial Intelligence 82 (1-2):215-235.
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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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  • Dynamic Logic.Lenore D. Zuck & David Harel - 1989 - Journal of Symbolic Logic 54 (4):1480.
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