Quantifying over events in probability logic: an introduction

Author:

SPERANSKI STANISLAV O.

Abstract

In this article we describe a bunch of probability logics with quantifiers over events, and develop primary techniques for proving computational complexity results (in terms of m-degrees) about these logics, mainly over discrete probability spaces. Also the article contains a comparison with some other probability logics and a discussion of interesting analogies with research in the metamathematics of Boolean algebras, demonstrating a number of attractive features and intuitive advantages of the present proposal.

Publisher

Cambridge University Press (CUP)

Subject

Computer Science Applications,Mathematics (miscellaneous)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An ‘elementary’ perspective on reasoning about probability spaces;Logic Journal of the IGPL;2024-04-22

2. Probing the quantitative–qualitative divide in probabilistic reasoning;Annals of Pure and Applied Logic;2023-07

3. Elementary Invariants for Quantified Probability Logic;Doklady Mathematics;2023-04

4. ELEMENTARY INVARIANTS FOR QUANTIFIED PROBABILITY LOGIC;Доклады Российской академии наук. Математика, информатика, процессы управления;2023-03-01

5. IS CAUSAL REASONING HARDER THAN PROBABILISTIC REASONING?;The Review of Symbolic Logic;2022-05-18

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