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arXiv · 2111.04082

Pattern-based Subterm Selection in Isabelle

Lars Noschinski·Christoph Traut
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Abstract

This article presents a pattern-based language designed to select (a set of) subterms of a given term in a concise and robust way. Building on this language, we implement a single-step rewriting tactic in the Isabelle theorem prover, which removes the need for obscure "occurrence numbers" for subterm selection. The language was inspired by the \emph{language of patterns} of Gonthier and Tassi, but provides an elegant way of handling bound variables and a modular semantics.

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Lars Noschinski, Christoph Traut. 2021-11-07. Pattern-based Subterm Selection in Isabelle. https://arxiv.org/abs/2111.04082

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