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  1. Some Philosophical Problems from the Standpoint of Artificial Intelligence.J. McCarthy & P. J. Hayes - 1969 - Machine Intelligence 4:463-502.
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  • Dynamic Logic.Lenore D. Zuck & David Harel - 1989 - Journal of Symbolic Logic 54 (4):1480.
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  • Ramification and causality.Michael Thielscher - 1997 - Artificial Intelligence 89 (1-2):317-364.
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  • Integrating actions and state constraints: A closed-form solution to the ramification problem.Sheila A. McIlraith - 2000 - Artificial Intelligence 116 (1-2):87-121.
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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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  • Simulation and transfer results in modal logic – a survey.Marcus Kracht & Frank Wolter - 1997 - Studia Logica 59 (2):149-177.
    This papers gives a survey of recent results about simulations of one class of modal logics by another class and of the transfer of properties of modal logics under extensions of the underlying modal language. We discuss: the transfer from normal polymodal logics to their fusions, the transfer from normal modal logics to their extensions by adding the universal modality, and the transfer from normal monomodal logics to minimal tense extensions. Likewise, we discuss simulations of normal polymodal logics by normal (...)
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  • Properties of independently axiomatizable bimodal logics.Marcus Kracht & Frank Wolter - 1991 - Journal of Symbolic Logic 56 (4):1469-1485.
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  • Modularity and relevant logic.James Garson - 1989 - Notre Dame Journal of Formal Logic 30 (2):207-223.
    A practical system of reasoning must be both correct and efficient. An efficient system which contains a large body of information can not search for the proof of a conclusion from all information available. Efficiency requires that deduction of the conclusion be carried out in a modular way using only a relatively small and quickly identified subset of the total information. One might assume that data modularity is incompatible with correctness, where a system is correct for a logic L iff (...)
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  • Linear resolution for consequence finding.Katsumi Inoue - 1992 - Artificial Intelligence 56 (2-3):301-353.
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  • Representing action: indeterminacy and ramifications.Enrico Giunchiglia, G. Neelakantan Kartha & Vladimir Lifschitz - 1997 - Artificial Intelligence 95 (2):409-438.
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  • Reasoning about action II.Matthew L. Ginsberg & David E. Smith - 1988 - Artificial Intelligence 35 (3):311-342.
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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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  • Regression in Modal Logic.Robert Demolombe, Andreas Herzig & Ivan Varzinczak - 2003 - Journal of Applied Non-Classical Logics 13 (2):165-185.
    In this work we propose an encoding of Reiter’s Situation Calculus solution to the frame problem into the framework of a simple multimodal logic of actions. In particular we present the modal counterpart of the regression technique. This gives us a theorem proving method for a relevant fragment of our modal logic.
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  • Modal Logic.Patrick Blackburn, Maarten de Rijke & Yde Venema - 2001 - Studia Logica 76 (1):142-148.
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