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    Modes of Truth

    The Unified Approach to Truth, Modality, and Paradox

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    Contributor(s)
    Nicolai, Carlo (editor)
    Stern, Johannes (editor)
    Language
    English
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    Abstract
    The aim of this volume is to open up new perspectives and to raise new research questions about a unified approach to truth, modalities, and propositional attitudes. The volume’s essays are grouped thematically around different research questions. The first theme concerns the tension between the theoretical role of the truth predicate in semantics and its expressive function in language. The second theme of the volume concerns the interaction of truth with modal and doxastic notions. The third theme covers higher-order solutions to the semantic and modal paradoxes, providing an alternative to first-order solutions embraced in the first two themes. This book will be of interest to researchers working in epistemology, logic, philosophy of logic, philosophy of language, philosophy of mathematics, and semantics.
    URI
    https://library.oapen.org/handle/20.500.12657/47577
    Keywords
    Andrew Bacon; Carlo Nicolai; Catrin Campbell-Moore; compositional principles; deflationary truth; de re modalities; Eugenio Orlandelli; epistemology; Friederike Moltmann; Giovanna Corsi; higher-order quantification; infinite types; James Studd; Johannes Stern; Julien Murzi; Lavinia Picollo; Leon Horsten; Liar's paradox; Lorenzo Rossi; logic; Matteo Zicchetti; Montague’s paradox; modality; objects; Paul Égré; paradox; philosophy of language; philosophy of logic; possible worlds semantics; predicates
    DOI
    10.4324/9780429030208
    ISBN
    9780429641800, 9780367141097, 9780367688677, 9780429030208, 9780429641800
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2021
    Imprint
    Routledge
    Series
    Routledge Studies in Contemporary Philosophy,
    Pages
    304
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0/
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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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