Proof-Pattern Recognition and Lemma Discovery in ACL2 [article]

Jónathan Heras, Ekaterina Komendantskaya, Moa Johansson, Ewen Maclean
2013 arXiv   pre-print
We present a novel technique for combining statistical machine learning for proof-pattern recognition with symbolic methods for lemma discovery. The resulting tool, ACL2(ml), gathers proof statistics and uses statistical pattern-recognition to pre-processes data from libraries, and then suggests auxiliary lemmas in new proofs by analogy with already seen examples. This paper presents the implementation of ACL2(ml) alongside theoretical descriptions of the proof-pattern recognition and lemma discovery methods involved in it.
arXiv:1308.1780v2 fatcat:e2vvq2y3a5e6jglfkqxdgtrji4