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首页> 外文期刊>ACM transactions on computational logic >Non-well-founded Proof Theory of Transitive Closure Logic
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Non-well-founded Proof Theory of Transitive Closure Logic

机译:不熟悉的传递闭合逻辑证明理论

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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.
机译:支持归纳推理是一个重要组成部分是计算机科学的任何使用框架。为此,逻辑框架必须扩展一阶逻辑。传递闭合逻辑是一种已知的一阶逻辑的延伸,特别是自动化的一阶逻辑。虽然具有感应定义的一阶逻辑的其他扩展是由一组电感定义的先验参数,但是添加单个传递闭合操作者的优点是均匀地捕获所有有合重归解定义的优点。为了进一步提高用于传递闭合逻辑的推理技术,我们在这里为其提供了一个无限的证据系统,这是一个针对逻辑的现有(显式诱导)的无限下降式对应物。我们表明,无限制的系统为标准语义完整,并载于显式系统。此外,传递闭合操作者的均匀性允许使用简单的语法标准来定义语义上的完全限制。因此,对常规无限(即循环)证据的限制为有效系统提供了自动化归纳推理的基础。

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