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Introduction: Revising, Updating and Combining Knowledge,tablished belief revision theory is based on Bayes’ rule for probability measures. The study of change in probability theory has been dubbed ‘probability kinematics’ [.], and is relevant to fields such as statistics, decision theory and philosophy of science. The logical framework has emerged with t
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Wireless Fieldbus for Industrial Networkstablished belief revision theory is based on Bayes’ rule for probability measures. The study of change in probability theory has been dubbed ‘probability kinematics’ [.], and is relevant to fields such as statistics, decision theory and philosophy of science. The logical framework has emerged with t
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Cybermanufacturing and Digital Twins, semantic representation of epistemic states. In syntax-dependent theories of revision two logically equivalent, syntactically distinct, belief bases are generally not revised in the same way. The syntactic dimension of logical approaches introduces a level of increased complexity and expressiveness
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.The work thus presents a unified view of belief change operators,drawing from a widely scattered literature embracing philosophicallogic, artificial intelligence, uncertainty modelling and databasesystems. The material is a clearly organised guide to the literatureon the dynamics of epistemic states, knowle978-94-010-6123-0978-94-011-5054-5
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