License: 
Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ITP.2019.34
URN: urn:nbn:de:0030-drops-110898
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11089/
Jakubuv, Jan ;
Urban, Josef
Hammering Mizar by Learning Clause Guidance (Short Paper)
Abstract
We describe a very large improvement of existing hammer-style proof automation over large ITP libraries by combining learning and theorem proving. In particular, we have integrated state-of-the-art machine learners into the E automated theorem prover, and developed methods that allow learning and efficient internal guidance of E over the whole Mizar library. The resulting trained system improves the real-time performance of E on the Mizar library by 70% in a single-strategy setting.
BibTeX - Entry
@InProceedings{jakubuv_et_al:LIPIcs:2019:11089,
author = {Jan Jakubuv and Josef Urban},
title = {{Hammering Mizar by Learning Clause Guidance (Short Paper)}},
booktitle = {10th International Conference on Interactive Theorem Proving (ITP 2019)},
pages = {34:1--34:8},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-122-1},
ISSN = {1868-8969},
year = {2019},
volume = {141},
editor = {John Harrison and John O'Leary and Andrew Tolmach},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2019/11089},
URN = {urn:nbn:de:0030-drops-110898},
doi = {10.4230/LIPIcs.ITP.2019.34},
annote = {Keywords: Proof automation, ITP hammers, Automated theorem proving, Machine learning}
}
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Keywords: |
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Proof automation, ITP hammers, Automated theorem proving, Machine learning |
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Collection: |
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10th International Conference on Interactive Theorem Proving (ITP 2019) |
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Issue Date: |
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2019 |
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Date of publication: |
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05.09.2019 |
