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DOI: 10.4230/LIPIcs.ITP.2019.34
URN: urn:nbn:de:0030-drops-110898
URL: http://drops.dagstuhl.de/opus/volltexte/2019/11089/
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Jakubuv, Jan ; Urban, Josef

Hammering Mizar by Learning Clause Guidance (Short Paper)

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LIPIcs-ITP-2019-34.pdf (0.3 MB)


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}
}

Keywords: Proof automation, ITP hammers, Automated theorem proving, Machine learning
Seminar: 10th International Conference on Interactive Theorem Proving (ITP 2019)
Issue Date: 2019
Date of publication: 06.09.2019


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