Towards logical foundations for probabilistic computation

被引:1
|
作者
Antonelli, Melissa [1 ]
Dal Lago, Ugo [2 ,3 ]
Pistone, Paolo [2 ]
机构
[1] HIIT Helsinki Inst Informat Technol, Pietari Kalmi Katu 5, Helsinki 00560, Finland
[2] Univ Bologna, Dept Comp Sci & Engn, Mura Anteo Zamboni 7, I-40127 Bologna, Italy
[3] Univ Cote Azur, INRIA, 2004 Rte Lucioles, F-06902 Valbonne, France
关键词
Probabilistic computation; Propositional logic; Counting quantifiers; Counting complexity; Typed lambda-calculi; BOUNDED LINEAR LOGIC; TIME; SEMANTICS;
D O I
10.1016/j.apal.2023.103341
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The overall purpose of the present work is to lay the foundations for a new approach to bridge logic and probabilistic computation. To this aim we introduce extensions of classical and intuitionistic propositional logic with counting quantifiers, that is, quantifiers that measure to which extent a formula is true. The resulting systems, called cCPL and iCPL, respectively, admit a natural semantics, based on the Borel sigma-algebra of the Cantor space, together with a sound and complete proof system. Our main results consist in relating cCPL and iCPL with some central concepts in the study of probabilistic computation. On the one hand, the validity of cCPLformulae in prenex form characterizes the corresponding level of Wagner's hierarchy of counting complexity classes, closely related to probabilistic complexity. On the other hand, proofs in iCPL correspond, in the sense of Curry and Howard, to typing derivations for a randomized extension of the lambda-calculus, so that counting quantifiers reveal the probability of termination of the underlying probabilistic programs. (c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/).
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页数:51
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