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  1. Sequent calculus for classical logic probabilized.Marija Boričić - 2019 - Archive for Mathematical Logic 58 (1-2):119-136.
    Gentzen’s approach to deductive systems, and Carnap’s and Popper’s treatment of probability in logic were two fruitful ideas that appeared in logic of the mid-twentieth century. By combining these two concepts, the notion of sentence probability, and the deduction relation formalized in the sequent calculus, we introduce the notion of ’probabilized sequent’ \ with the intended meaning that “the probability of truthfulness of \ belongs to the interval [a, b]”. This method makes it possible to define a system of derivations (...)
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  • Towards logical foundations for probabilistic computation.Melissa Antonelli, Ugo Dal Lago & Paolo Pistone - 2024 - Annals of Pure and Applied Logic 175 (9):103341.
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  • Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks.Gianvincenzo Alfano, Marco Calautti, Sergio Greco, Francesco Parisi & Irina Trubitsyna - 2023 - Artificial Intelligence 323 (C):103967.
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  • A First-order Conditional Probability Logic.Miloš Milošević & Zoran Ognjanović - 2012 - Logic Journal of the IGPL 20 (1):235-253.
    In this article, we present the probability logic LFOCP which is suitable to formalize statements about conditional probabilities of first order formulas. The logical language contains formulas such as CP≥s and CP≤s with the intended meaning ‘the conditional probability of ϕ given θ is at least s’ and ‘at most s’, respectively, where ϕ and θ are first-order formulas. We introduce a class of first order Kripke-like models that combine properties of the usual Kripke models and finitely additive probabilities. We (...)
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  • Normische gesetzeshypothesen und die wissenschaftsphilosophische bedeutung Des nichtmonotonen schliessens.Gerhard Schurz - 2001 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 32 (1):65-107.
    Normic Laws and the Significance of Nonmonotonic Reasoning for Philosophy of Science. Normic laws have the form ‘if A then normally B’. They have been discovered in the explanation debate, but were considered as empirically vacuous (§1). I argue that the prototypical (or ideal) normality of normic laws implies statistical normality (§2), whence normic laws have empirical content. In §3–4 I explain why reasoning from normic laws is nonmonotonic, and why the understanding of the individual case is so important here. (...)
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  • Weak nonmonotonic probabilistic logics.Thomas Lukasiewicz - 2005 - Artificial Intelligence 168 (1-2):119-161.
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  • Anytime deduction for probabilistic logic.Alan M. Frisch & Peter Haddawy - 1994 - Artificial Intelligence 69 (1-2):93-122.
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