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  1. Belief base contraction by belief accrual.Cristhian A. D. Deagustini, M. Vanina Martinez, Marcelo A. Falappa & Guillermo R. Simari - 2019 - Artificial Intelligence 275 (C):78-103.
    The problem of knowledge evolution has received considerable attention over the years. Mainly, the study of the dynamics of knowledge has been addressed in the area of Belief Revision, a field emerging as the convergence of the efforts in Philosophy, Logic, and more recently Computer Science, where research efforts usually involve “flat” knowledge bases where there is no additional information about the formulas stored in it. Even when this may be a good fit for particular applications, in many real-world scenarios (...)
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  • Simple Hyperintensional Belief Revision.F. Berto - 2019 - Erkenntnis 84 (3):559-575.
    I present a possible worlds semantics for a hyperintensional belief revision operator, which reduces the logical idealization of cognitive agents affecting similar operators in doxastic and epistemic logics, as well as in standard AGM belief revision theory. (Revised) belief states are not closed under classical logical consequence; revising by inconsistent information does not perforce lead to trivialization; and revision can be subject to ‘framing effects’: logically or necessarily equivalent contents can lead to different revisions. Such results are obtained without resorting (...)
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  • Properties and interrelationships of skeptical, weakly skeptical, and credulous inference induced by classes of minimal models.Christoph Beierle, Christian Eichhorn, Gabriele Kern-Isberner & Steven Kutsch - 2021 - Artificial Intelligence 297 (C):103489.
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  • An Epistemological Study of Theory Change.Theofanis Aravanis - 2022 - Bulletin of the Section of Logic 51 (1):1-26.
    Belief Revision is a well-established field of research that deals with how agents rationally change their minds in the face of new information. The milestone of Belief Revision is a general and versatile formal framework introduced by Alchourrón, Gärdenfors and Makinson, known as the AGM paradigm, which has been, to this date, the dominant model within the field. A main shortcoming of the AGM paradigm, as originally proposed, is its lack of any guidelines for relevant change. To remedy this weakness, (...)
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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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