LiFtEr: Language to Encode Induction Heuristics for Isabelle/HOL
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Abstract (arXiv)
Proof assistants, such as Isabelle/HOL, offer tools to facilitate inductive theorem proving. Isabelle experts know how to use these tools effectively; however, there is a little tool support for transferring this expert knowledge to a wider user audience. To address this problem, we present our domain-specific language, LiFtEr. LiFtEr allows experienced Isabelle users to encode their induction heuristics in a style independent of any problem domain. LiFtEr's interpreter mechanically checks if a given application of induction tool matches the heuristics, thus automating the knowledge transfer loop.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jun 2019.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 1.
3 papers.
- 2024Learning Rules Explaining Interactive Theorem Proving Tactic Prediction2 Nov 2024
- 2022Genetic Algorithm for Program Synthesis22 Nov 2022
- 2021A Study of Continuous Vector Representationsfor Theorem Proving22 Jan 2021