Towards Machine Learning Induction
arXiv:1812.04088
Abstract
Induction lies at the heart of mathematics and computer science. However, automated theorem proving of inductive problems is still limited in its power. In this abstract, we first summarize our progress in automating inductive theorem proving for Isabelle/HOL. Then, we present MeLoId, our approach to suggesting promising applications of induction without completing a proof search.
arXiv commentThis abstract is submitted to the fourth Conference on Artificial Intelligence (AITP2019) and Theorem Proving and to the third Workshop on Learning in Verification (LiVE2019)