2022
DOI: 10.1002/malq.202100052
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Intuitionistic propositional probability logic

Abstract: We give a sound and complete axiomatization of a probabilistic extension of intuitionistic logic. Reasoning with probability operators is also intuitionistic (in contradistinction to other works on this topic), i.e., measure functions used for modeling probability operators are partial functions. Finally, we present a decision procedure for our logic, which is a combination of linear programming and an intuitionistic tableaux method.

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Cited by 1 publication
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“…The concrete semantics of the modality can be defined in two ways. First, using a modal language with Kripke semantics where the measure is defined on the set of states as done in, e.g., [17,10,11] for qualitative probabilities and in [24] for the quantitative ones. Second, employing a two-layered formalism (cf.…”
Section: Introductionmentioning
confidence: 99%
“…The concrete semantics of the modality can be defined in two ways. First, using a modal language with Kripke semantics where the measure is defined on the set of states as done in, e.g., [17,10,11] for qualitative probabilities and in [24] for the quantitative ones. Second, employing a two-layered formalism (cf.…”
Section: Introductionmentioning
confidence: 99%