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Ondrej Majer
Charles University, Prague
  1. Non-Classical Probabilities for Decision Making in Situations of Uncertainty.Dominik Klein, Ondrej Majer & Soroush Rafiee Rad - 2020 - Roczniki Filozoficzne 68 (4):315-343.
    Nieklasyczne prawdopodobieństwa na potrzeby podejmowania decyzji w sytuacjach niepewności Analiza sytuacji, w których informacja jest częściowa, niepełna bądź niespójna wskazuje na potrzebę zbudowania jakościowych miar siły przekonań odmiennych niż te, które są oferowane przez klasyczną teorię prawdopodobieństwa. W niniejszej pracy porównujemy dwa ujęcia zaproponowane dla realizacji tej potrzeby: teorię Dempstera-Shafera i niestandardową teorię prawdopodobieństwa nabudowaną na logice Belnapa-Dunna. Pokazujemy, że te dwa formalizmy przyjmują ortogonalne perspektywy postrzegania niedostatków informacyjnych, a jednocześnie dostarczają rezultatów częściowo ze sobą korespondujących. Na koniec porównujemy różne (...)
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  2.  98
    Logic of Change, Change of Logic.Hans van Ditmarsch, Brian Hill & Ondrej Majer - 2009 - Synthese 171 (2):227 - 234.
  3.  6
    Relevant Agents.Marta Bílková, Ondrej Majer, Michal Peliš & Greg Restall - 2010 - In Lev Beklemishev, Valentin Goranko & Valentin Shehtman (eds.), Advances in Modal Logic, Volume 8. CSLI Publications. pp. 22-38.
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  4.  14
    Fuzzy Intensional Semantics.Libor Běhounek & Ondrej Majer - 2018 - Journal of Applied Non-Classical Logics 28 (4):348-388.
    The study of weighted structures is one of the important trends in recent computer science. The aim of the article is to provide a weighted, many-valued version of classical intensional semantics formalised in the framework of higher-order fuzzy logics. We illustrate the apparatus on several variants of fuzzy S5-style modalities. The formalism is applicable to a broad array of weighted intensional notions, including alethic, epistemic, or probabilistic modalities, generalised quantifiers, counterfactual conditionals, dynamic and non-monotonic logics, and some more.
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  5.  3
    On Semantic Games for Łukasiewicz Logic.Ondrej Majer & Christian Fermüller - 2018 - In Hans van Ditmarsch & Gabriel Sandu (eds.), Jaakko Hintikka on Knowledge and Game Theoretical Semantics. Springer. pp. 263-278.
    We explore different ways to generalize Hintikka’s classic game theoretic semantics to a many-valued setting, where the unit interval is taken as the set of truth values. In this manner a plethora of characterizations of Łukasiewicz logic arise. Among the described semantic games is Giles’s dialogue and betting game, presented in a manner that makes the relation to Hintikka’s game more transparent. Moreover, we explain a so-called explicit evaluation game and a ‘bargaining game’ variant of it. We also describe a (...)
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  6.  4
    Epistemic Erotetic Search Scenarios.Paweł Łupkowski, Ondrej Majer, Michal Peliš & Mariusz Urbański - forthcoming - Logic and Logical Philosophy:1.
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  7.  8
    Empiricism in the foundations of cognition.Timothy Childers, Juraj Hvorecký & Ondrej Majer - forthcoming - AI and Society:1-21.
    This paper traces the empiricist program from early debates between nativism and behaviorism within philosophy, through debates about early connectionist approaches within the cognitive sciences, and up to their recent iterations within the domain of deep learning. We demonstrate how current debates on the nature of cognition via deep network architecture echo some of the core issues from the Chomsky/Quine debate and investigate the strength of support offered by these various lines of research to the empiricist standpoint. Referencing literature from (...)
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  8.  10
    A Graded Semantics for Counterfactuals.Libor Běhounek & Ondrej Majer - 2021 - Synthese 199 (5-6):11963-11994.
    This article presents an extension of Lewis’ analysis of counterfactuals to a graded framework. Unlike standard graded approaches, which use the probabilistic framework, we employ that of many-valued logics. Our principal goal is to provide an adequate analysis of the main background notion of Lewis’ approach—the one of the similarity of possible worlds. We discuss the requirements imposed on the analysis of counterfactuals by the imprecise character of similarity and concentrate in particular on robustness, i.e., the requirement that small changes (...)
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  9.  6
    Towards Evaluation Games for Fuzzy Logics.Petr Cintula & Ondrej Majer - 2009 - In Ondrej Majer, Ahti-Veikko Pietarinen & Tero Tulenheimo (eds.), Games: Unifying Logic, Language, and Philosophy. Springer Verlag. pp. 117--138.
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  10.  1
    Relevant Agents.Marta Bílková, Ondrej Majer, Michal Peliš & Greg Restall - 2010 - In Marcus Kracht, Maarten de Rijke, Heinrich Wansing & Michael Zakharyaschev (eds.), Advances in Modal Logic. CSLI Publications. pp. 22-38.
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  11.  8
    Probabilities with Gaps and Gluts.Dominik Klein, Ondrej Majer & Soroush Rafiee Rad - 2021 - Journal of Philosophical Logic 50 (5):1107-1141.
    Belnap-Dunn logic, sometimes also known as First Degree Entailment, is a four-valued propositional logic that complements the classical truth values of True and False with two non-classical truth values Neither and Both. The latter two are to account for the possibility of the available information being incomplete or providing contradictory evidence. In this paper, we present a probabilistic extension of BD that permits agents to have probabilistic beliefs about the truth and falsity of a proposition. We provide a sound and (...)
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  12. Logica Yearbook 2002.Timothy Childers & Ondrej Majer (eds.) - 2003 - Filosofia.
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  13.  34
    Games: Unifying Logic, Language, and Philosophy.Ondrej Majer, Ahti-Veikko Pietarinen & Tero Tulenheimo (eds.) - 2009 - Dordrecht, Netherland: Springer Verlag.
    This volume presents mathematical game theory as an interface between logic and philosophy.
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  14. Knowledge Interpretation in Substructural Frames.Ondrej Majer & Michal Pelis - 2013 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 20:79-98.
     
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  15. Subjektivní Pravděpodobnost a Realistické Možné Světy.Ondrej Majer - 2001 - Filosoficky Casopis 49:495-505.
    [Subjective probability and realistic possible worlds].
     
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  16. Teoria zdarzeń sekwencyjnych.Ondrej Majer - 2002 - Filozofia Nauki 1.
    The article deals with the problem of inductive learning and predicting in dynamic processes, which can be formally represented as time series of atomic events. The central notion of sequential event is characterised as a finite subsequence of adjacent atomic events in a series. In the first part of the article an algorythmic model of learning is introduced. The criterion of learning is based on the frequency of a particular sequential event and on the time-distance of its previous occurrences from (...)
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  17.  31
    Global Probability for Possible Worlds.Ondrej Majer - unknown
    In the majority of papers on probability in the framework of possible worlds the existence of a global probability distribution is taken for granted. The aim of the article is to discuss the epistemic aspect of this assumption in the connection to the status assigned to possible worlds. Two questions are discussed in particular: the justification of the global probability distribution and compatibility of the global probability assumption with the structure of the universe of the possible worlds.
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  18.  18
    Eliciting Uncertainties: A Two Structure Approach.Timothy Childers & Ondrej Majer - 2018 - Studia Logica 106 (3):615-636.
    We recast subjective probabilities by rejecting behaviourist accounts of belief by explicitly distinguishing between judgements of uncertainty and expressions of those judgements. We argue that this entails rejecting that orderings of uncertainty be complete. This in turn leads naturally to several generalizations of the probability calculus. We define probability-like functions over incomplete algebras that reflect a subject’s incomplete judgements of uncertainty. These functions can be further generalized to inner and outer measures that reflect approximate elicitations.
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  19.  10
    Logic of Change, Change of Logic.Hans Ditmarsch, Brian Hill & Ondrej Majer - 2009 - Synthese 171 (2):227-234.
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  20.  30
    Interpreting Probability.Timothy Childers & Ondrej Majer - 2012 - Journal of Logic, Language and Information 21 (2):141-144.
  21.  22
    Introduction to the Special Issue Epistemic Aspects of Many-Valued Logics.Timothy Childers & Ondrej Majer - 2014 - Erkenntnis 79 (5):969-970.
    The papers in this special issue are based on presentations delivered at the conference Epistemic Aspects of Many-valued Logics, held at the Institute of Philosophy of the Academy of Sciences of the Czech Republic, in Prague, 2010. All papers consequently revolve around the application of non-classical logical tools—mathematical fuzzy logic and/or probability theory—to epistemological issues.Timothy Williamson employs a modal epistemic logic enriched with probabilities to generalize an argument against the KK-principle. He argues that we can know a proposition even if (...)
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  22.  15
    Interpretace znalosti v substrukturálních rámcích.Ondrej Majer & Michal Peliš - 2013 - Organon F: Medzinárodný Časopis Pre Analytickú Filozofiu 20 (1):79-98.
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  23.  6
    On Łukasiewicz's Theory of Probability.Timothy Childers & Ondrej Majer - 1998 - In Katarzyna Kijania-Placek & Jan Woleński (eds.), The Lvov-Warsaw School and Contemporary Philosophy. Kluwer Academic Publishers. pp. 303--312.
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