Faster Smarter Induction in Isabelle/HOL
September 19, 2020 Β· Declared Dead Β· π International Joint Conference on Artificial Intelligence
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Authors
Yutaka Nagashima
arXiv ID
2009.09215
Category
cs.PL: Programming Languages
Cross-listed
cs.AI,
cs.LO
Citations
7
Venue
International Joint Conference on Artificial Intelligence
Last Checked
3 months ago
Abstract
Proof by induction plays a critical role in formal verification and mathematics at large. However, its automation remains as one of the long-standing challenges in Computer Science. To address this problem, we developed sem_ind. Given inductive problem, sem_ind recommends what arguments to pass to the induct method. To improve the accuracy of sem_ind, we introduced definitional quantifiers, a new kind of quantifiers that allow us to investigate not only the syntactic structures of inductive problems but also the definitions of relevant constants in a domain-agnostic style. Our evaluation shows that compared to its predecessor sem_ind improves the accuracy of recommendation from 20.1% to 38.2% for the most promising candidates within 5.0 seconds of timeout while decreasing the median value of execution time from 2.79 seconds to 1.06 seconds.
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