Towards Machine Learning Mathematical Induction
Mathematical 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 MiLkMaId, our approach to suggesting promising applications of mathematical induction without completing a proof search.
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