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  1. (1 other version)Knowledge, Time, and Paradox: Introducing Sequential Epistemic Logic.Wesley Holliday - 2018 - In Hans van Ditmarsch & Gabriel Sandu (eds.), Outstanding Contributions to Logic: Jaakko Hintikka. Springer.
    Epistemic logic in the tradition of Hintikka provides, as one of its many applications, a toolkit for the precise analysis of certain epistemological problems. In recent years, dynamic epistemic logic has expanded this toolkit. Dynamic epistemic logic has been used in analyses of well-known epistemic “paradoxes”, such as the Paradox of the Surprise Examination and Fitch’s Paradox of Knowability, and related epistemic phenomena, such as what Hintikka called the “anti-performatory effect” of Moorean announcements. In this paper, we explore a variation (...)
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  • Reverse Public Announcement Operators on Expanded Models.Ryuichi Sebastian Haney - 2018 - Journal of Logic, Language and Information 27 (3):205-224.
    Past public announcement operators have been defined in Hoshi and Yap :259–281, 2009) and Yap, to describe an agent’s knowledge before an announcement occurs. These operators rely on branching-time structures that do not mirror the traditional, relativization-based semantics of public announcement logic, and favor a historical reading of past announcements. In this paper, we introduce reverse public announcement operators that are interpreted on expanded models. Our model expansion adds accessibility links from an epistemic model \ to a filtrated submodel of (...)
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  • Before announcement.Philippe Balbiani, Hans van Ditmarsch & Andreas Herzig - 2016 - In Lev Beklemishev, Stéphane Demri & András Máté (eds.), Advances in Modal Logic, Volume 11. CSLI Publications. pp. 58-77.
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  • A History Based Logic for Dynamic Preference Updates.Can Başkent & Guy McCusker - 2020 - Journal of Logic, Language and Information 29 (3):275-305.
    History based models suggest a process-based approach to epistemic and temporal reasoning. In this work, we introduce preferences to history based models. Motivated by game theoretical observations, we discuss how preferences can dynamically be updated in history based models. Following, we consider arrow update logic and event calculus, and give history based models for these logics. This allows us to relate dynamic logics of history based models to a broader framework.
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