Download PDFOpen PDF in browserMachine Learner for Automated Reasoning 0.4 and 0.57 pages•Published: July 5, 2015AbstractMachine Learner for Automated Reasoning (MaLARea) is a learning andreasoning system for proving in large formal libraries where thousands of theorems are available when attacking a new conjecture, and a large number of related problems and proofs can be used to learn specific theorem-proving knowledge. The last version of the system has by a large margin won the 2013 CASC LTB competition. This paper describes the motivation behind the methods used in MaLARea, discusses the general approach and the issues arising in evaluation of such system, and describes the Mizar@Turing100 and CASC'24 versions of MaLARea. Keyphrases: atp competitions, automated reasoning, formal mathematics, large theories, machine learning In: Stephan Schulz, Leonardo De Moura and Boris Konev (editors). PAAR-2014. 4th Workshop on Practical Aspects of Automated Reasoning, vol 31, pages 60-66.
|