Learning-Assisted Automated Reasoning with Flyspeck

The considerable mathematical knowledge encoded by the Flyspeck project is combined with external automated theorem provers (ATPs) and machine-learning premise selection methods trained on the Flyspeck proofs, producing an AI system capable of proving a wide range of mathematical conjectures automat...

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Bibliographic Details
Published in:	Journal of automated reasoning Vol. 53; no. 2; pp. 173 - 213
Main Authors:	Kaliszyk, Cezary, Urban, Josef
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.08.2014 Springer Springer Nature B.V
Subjects:	Applied sciences Artificial Intelligence ATP Automated reasoning Axioms Computer Science Computer science; control theory; systems Data processing. List processing. Character string processing Exact sciences and technology International trade Learning and adaptive systems Logic Logic and foundations Mathematical analysis Mathematical Logic and Formal Languages Mathematical Logic and Foundations Mathematical logic, foundations, set theory Mathematics Memory organisation. Data processing Proof theory and constructive mathematics Proving Sciences and techniques of general use Software Symbolic and Algebraic Manipulation Theorems Automated reasoning Formal mathematics Machine learning HOL light Interactive theorem proving Flyspeck Artificial intelligence High order logic Automatic proving Real time Program verification Interactive system Bootstrapping Workstation Theorem proving User interface Machine teaming Proof theory Learning algorithm Computer algebra Central unit Polymorphism Formal verification
ISSN:	0168-7433, 1573-0670
Online Access:	Get full text
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