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A Computationally Grounded Logic of Graded Belief

Abstract : We present a logic of graded beliefs with a formal semantics grounded on the notion of belief base. It has modal operators which represent what an agent would believe if she removed k pieces of information from her belief base. We provide a sound and complete axiomatics for our logic as well as an optimal model checking algorithm. To illustrate its expressive power, we apply it to modeling social influence and epistemic explanation.
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Contributor : Emiliano Lorini Connect in order to contact the contributor
Submitted on : Tuesday, November 30, 2021 - 10:29:24 AM
Last modification on : Tuesday, January 4, 2022 - 5:52:26 AM


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Emiliano Lorini, François Schwarzentruber. A Computationally Grounded Logic of Graded Belief. 17th European Conference on Logics in Artificial Intelligence (JELIA 2021), May 2021, virtual event, France. pp.245-261, ⟨10.1007/978-3-030-75775-5_17⟩. ⟨hal-03453909⟩



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