Learning Tree Automata with Term Rewriting

Fuente: arXiv
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Auteurs principaux: Kopystiański, Jakub, Otop, Jan
Format: Preprint
Publié: 2026
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author Kopystiański, Jakub
Otop, Jan
author_facet Kopystiański, Jakub
Otop, Jan
contents We present an extension of the Angluin-style learning algorithm for tree automata that incorporates deductive inference. The learning algorithm is provided with a term rewriting system that specifies properties of the target tree language (e.g., the order of subtrees under a symbol f is irrelevant). This term rewriting system is used to infer answers to some queries, which reduces the query complexity of the learning algorithm. We present examples of rewrite systems that express natural properties of tree-structured data, which yield a significant reduction in the number of queries.
format Preprint
id arxiv_https___arxiv_org_abs_2605_07710
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Learning Tree Automata with Term Rewriting
Kopystiański, Jakub
Otop, Jan
Formal Languages and Automata Theory
F.1.1; I.2.2
We present an extension of the Angluin-style learning algorithm for tree automata that incorporates deductive inference. The learning algorithm is provided with a term rewriting system that specifies properties of the target tree language (e.g., the order of subtrees under a symbol f is irrelevant). This term rewriting system is used to infer answers to some queries, which reduces the query complexity of the learning algorithm. We present examples of rewrite systems that express natural properties of tree-structured data, which yield a significant reduction in the number of queries.
title Learning Tree Automata with Term Rewriting
topic Formal Languages and Automata Theory
F.1.1; I.2.2
url https://arxiv.org/abs/2605.07710