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  1. Hyperintensionality and Normativity.Federico L. G. Faroldi - 2019 - Cham, Switzerland: Springer Verlag.
    Presenting the first comprehensive, in-depth study of hyperintensionality, this book equips readers with the basic tools needed to appreciate some of current and future debates in the philosophy of language, semantics, and metaphysics. After introducing and explaining the major approaches to hyperintensionality found in the literature, the book tackles its systematic connections to normativity and offers some contributions to the current debates. The book offers undergraduate and graduate students an essential introduction to the topic, while also helping professionals in related (...)
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  • Three characterizations of strict coherence on infinite-valued events.Tommaso Flaminio - 2020 - Review of Symbolic Logic 13 (3):593-610.
    This article builds on a recent paper coauthored by the present author, H. Hosni and F. Montagna. It is meant to contribute to the logical foundations of probability theory on many-valued events and, specifically, to a deeper understanding of the notion of strict coherence. In particular, we will make use of geometrical, measure-theoretical and logical methods to provide three characterizations of strict coherence on formulas of infinite-valued Łukasiewicz logic.
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  • Strict coherence on many-valued events.Tommaso Flaminio, Hykel Hosni & Franco Montagna - 2018 - Journal of Symbolic Logic 83 (1):55-69.
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  • Special issue on logics and artificial intelligence.Zoe Falomir, Vicent Costa, Enric Plaza & Karina Gibert - 2021 - Logic Journal of the IGPL 29 (1):1-6.
    There is a significant range of ongoing challenges in artificial intelligence dealing with reasoning, planning, learning, perception and cognition, among others. In this scenario, many-valued logics emerge as one of the topics in many of the solutions to some of those AI problems. This special issue presents a brief introduction to the relation between logics and AI and collects recent research works on logic-based approaches in AI.
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  • An approach to stochastic processes via non-classical logic.Antonio Di Nola, Anatolij Dvurečenskij & Serafina Lapenta - 2021 - Annals of Pure and Applied Logic 172 (9):103012.
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