Proof Mining with Dependent Types

Ekaterina Komendantskaya; Jonathan Heras

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arXiv · 1705.04680

Proof Mining with Dependent Types

Ekaterina Komendantskaya·Jonathan Heras

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Abstract

Several approaches exist to data-mining big corpora of formal proofs. Some of these approaches are based on statistical machine learning, and some -- on theory exploration. However, most are developed for either untyped or simply-typed theorem provers. In this paper, we present a method that combines statistical data mining and theory exploration in order to analyse and automate proofs in dependently typed language of Coq.

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Ekaterina Komendantskaya, Jonathan Heras. 2017-05-12. Proof Mining with Dependent Types. https://arxiv.org/abs/1705.04680

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