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Automated Strategy Invention for Confluence of Term Rewrite Systems

Liao Zhang, Fabian Mitterwallner, Jan Jakubuv, Cezary Kaliszyk

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.24963/ijcai.2025/526 ↗

摘要

Term rewriting plays a crucial role in software verification and compiler optimization. With dozens of highly parameterizable techniques developed to prove various system properties, automatic term rewriting tools work in an extensive parameter space. This complexity exceeds human capacity for parameter selection, motivating an investigation into automated strategy invention. In this paper, we focus on confluence of term rewrite systems, and apply AI techniques to invent strategies for automatic confluence proving. Moreover, we randomly generate a large dataset to analyze confluence for term rewrite systems. We improve the state-of-the-art automatic confluence prover CSI: When equipped with our invented strategies, it surpasses its human-designed strategies both on the augmented dataset and on the original human-created benchmark dataset ARI-COPS, proving/disproving the confluence of several term rewrite systems for which no automated proofs were known before.