Non-well-founded Proof Theory of Transitive Closure Logic

L. Cohen, R. Rowe
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引用次数: 5

Abstract

Supporting inductive reasoning is an essential component is any framework of use in computer science. To do so, the logical framework must extend that of first-order logic. Transitive closure logic is a known extension of first-order logic that is particularly straightforward to automate. While other extensions of first-order logic with inductive definitions are a priori parametrized by a set of inductive definitions, the addition of a single transitive closure operator has the advantage of uniformly capturing all finitary inductive definitions. To further improve the reasoning techniques for transitive closure logic, we here present an infinitary proof system for it, which is an infinite descent–style counterpart to the existing (explicit induction) proof system for the logic. We show that the infinitary system is complete for the standard semantics and subsumes the explicit system. Moreover, the uniformity of the transitive closure operator allows semantically meaningful complete restrictions to be defined using simple syntactic criteria. Consequently, the restriction to regular infinitary (i.e., cyclic) proofs provides the basis for an effective system for automating inductive reasoning.
传递闭包逻辑的非充分证明理论
支持归纳推理是计算机科学中任何使用框架的基本组成部分。为此,逻辑框架必须扩展一阶逻辑的框架。传递闭包逻辑是一阶逻辑的已知扩展,特别容易自动化。虽然具有归纳定义的一阶逻辑的其他扩展是由一组归纳定义先验地参数化的,但添加单个传递闭包算子具有统一捕获所有有限归纳定义的优点。为了进一步改进传递闭包逻辑的推理技术,我们提出了传递闭包逻辑的一个无限证明系统,它是传递闭包逻辑现有的(显归纳)证明系统的无限下降式对应物。我们证明了无穷系统对于标准语义是完备的,并且包含了显式系统。此外,传递闭包操作符的一致性允许使用简单的语法标准定义语义上有意义的完整限制。因此,对正则无穷(即循环)证明的限制为自动归纳推理的有效系统提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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