Solution of the Robbins Problem
Journal of Automated Reasoning
MPTP 0.2: Design, Implementation, and Initial Experiments
Journal of Automated Reasoning
AI Communications - CASC
MaLARea SG1 - Machine Learner for Automated Reasoning with Semantic Guidance
IJCAR '08 Proceedings of the 4th international joint conference on Automated Reasoning
Evaluation of automated theorem proving on the Mizar mathematical library
ICMS'10 Proceedings of the Third international congress conference on Mathematical software
Automated proof compression by invention of new definitions
LPAR'10 Proceedings of the 16th international conference on Logic for programming, artificial intelligence, and reasoning
MaLeCoP: machine learning connection prover
TABLEAUX'11 Proceedings of the 20th international conference on Automated reasoning with analytic tableaux and related methods
Sine Qua non for large theory reasoning
CADE'11 Proceedings of the 23rd international conference on Automated deduction
Dependencies in formal mathematics: applications and extraction for coq and mizar
CICM'12 Proceedings of the 11th international conference on Intelligent Computer Mathematics
Overview and evaluation of premise selection techniques for large theory mathematics
IJCAR'12 Proceedings of the 6th international joint conference on Automated Reasoning
MaSh: machine learning for sledgehammer
ITP'13 Proceedings of the 4th international conference on Interactive Theorem Proving
Theorem proving in large formal mathematics as an emerging AI field
Automated Reasoning and Mathematics
Premise Selection for Mathematics by Corpus Analysis and Kernel Methods
Journal of Automated Reasoning
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First-order translations of large mathematical repositories allow discovery of new proofs by automated reasoning systems. Large amounts of available mathematical knowledge can be re-used by combined AI/ATP systems, possibly in unexpected ways. But automated systems can be also more easily misled by irrelevant knowledge in this setting, and finding deeper proofs is typically more difficult. Both large-theory AI/ATP methods, and translation and data-mining techniques of large formal corpora, have significantly developed recently, providing enough data for an initial comparison of the proofs written by mathematicians and the proofs found automatically. This paper describes such an initial experiment and comparison conducted over the 50000 mathematical theorems from the Mizar Mathematical Library.