Vampire with a Brain Is a Good ITP Hammer
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00354414" target="_blank" >RIV/68407700:21730/21:00354414 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/978-3-030-86205-3_11" target="_blank" >https://doi.org/10.1007/978-3-030-86205-3_11</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-86205-3_11" target="_blank" >10.1007/978-3-030-86205-3_11</a>
Alternative languages
Result language
angličtina
Original language name
Vampire with a Brain Is a Good ITP Hammer
Original language description
Vampire has been for a long time the strongest first-order automatic theorem prover, widely used for hammer-style proof automation in ITPs such as Mizar, Isabelle, HOL, and Coq. In this work, we considerably improve the performance of Vampire in hammering over the full Mizar library by enhancing its saturation procedure with efficient neural guidance. In particular, we employ a recently proposed recursive neural network classifying the generated clauses based only on their derivation history. Compared to previous neural methods based on considering the logical content of the clauses, our architecture makes evaluating a single clause much less time consuming. The resulting system shows good learning capability and improves on the state-of-the-art performance on the Mizar library, while proving many theorems that the related ENIGMA system could not prove in a similar hammering evaluation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GJ20-06390Y" target="_blank" >GJ20-06390Y: Powering Automatic Theorem Provers by Machine Learning</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Frontiers of Combining Systems
ISBN
978-3-030-86204-6
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
18
Pages from-to
192-209
Publisher name
Springer
Place of publication
Cham
Event location
Birmingham
Event date
Sep 8, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000711401800011