Defining Logical Systems via Algebraic Constraints on Proofs

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS Journal of Logic and Computation Pub Date : 2023-11-27 DOI:10.1093/logcom/exad065
Alexander V Gheorghiu, David J Pym
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Abstract

We present a comprehensive programme analysing the decomposition of proof systems for non-classical logics into proof systems for other logics, especially classical logic, using an algebra of constraints. That is, one recovers a proof system for a target logic by enriching a proof system for another, typically simpler, logic with an algebra of constraints that act as correctness conditions on the latter to capture the former; e.g. one may use Boolean algebra to give constraints in a sequent calculus for classical propositional logic to produce a sequent calculus for intuitionistic propositional logic. The idea behind such forms of decomposition is to obtain a tool for uniform and modular treatment of proof theory and to provide a bridge between semantics logics and their proof theory. The paper discusses the theoretical background of the project and provides several illustrations of its work in the field of intuitionistic and modal logics: including, a uniform treatment of modular and cut-free proof systems for a large class of propositional logics; a general criterion for a novel approach to soundness and completeness of a logic with respect to a model-theoretic semantics; and a case study deriving a model-theoretic semantics from a proof-theoretic specification of a logic.
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通过证明上的代数约束定义逻辑系统
我们提出了一个综合程序,分析了非经典逻辑的证明系统分解为其他逻辑的证明系统,特别是经典逻辑,使用约束代数。也就是说,一个人通过丰富另一个目标逻辑的证明系统来恢复一个目标逻辑的证明系统,通常是更简单的逻辑,用一个约束代数作为后者的正确性条件来捕获前者;例如,一个人可以用布尔代数在经典命题逻辑的序演算中给出约束,从而产生直觉命题逻辑的序演算。这种分解形式背后的思想是获得一种统一和模块化处理证明理论的工具,并提供语义逻辑与其证明理论之间的桥梁。本文讨论了该项目的理论背景,并提供了其在直觉和模态逻辑领域的工作的几个例子:包括,对一大类命题逻辑的模和无切证明系统的统一处理;关于模型论语义的逻辑完备性新方法的一般准则以及一个从逻辑的证明理论说明推导出模型论语义的案例研究。
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来源期刊
Journal of Logic and Computation
Journal of Logic and Computation 工程技术-计算机:理论方法
CiteScore
1.90
自引率
14.30%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Logic has found application in virtually all aspects of Information Technology, from software engineering and hardware to programming and artificial intelligence. Indeed, logic, artificial intelligence and theoretical computing are influencing each other to the extent that a new interdisciplinary area of Logic and Computation is emerging. The Journal of Logic and Computation aims to promote the growth of logic and computing, including, among others, the following areas of interest: Logical Systems, such as classical and non-classical logic, constructive logic, categorical logic, modal logic, type theory, feasible maths.... Logical issues in logic programming, knowledge-based systems and automated reasoning; logical issues in knowledge representation, such as non-monotonic reasoning and systems of knowledge and belief; logics and semantics of programming; specification and verification of programs and systems; applications of logic in hardware and VLSI, natural language, concurrent computation, planning, and databases. The bulk of the content is technical scientific papers, although letters, reviews, and discussions, as well as relevant conference reviews, are included.
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