TacticToe: Learning to Reason with HOL4 Tactics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F17%3A00319002" target="_blank" >RIV/68407700:21730/17:00319002 - isvavai.cz</a>
Result on the web
<a href="https://easychair.org/publications/paper/WsM" target="_blank" >https://easychair.org/publications/paper/WsM</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
TacticToe: Learning to Reason with HOL4 Tactics
Original language description
Techniques combining machine learning with translation to automated reasoning have recently become an important component of formal proof assistants. Such “hammer” techniques complement traditional proof assistant automation as implemented by tactics and decision procedures. In this paper we present a unified proof assistant automation approach which attempts to automate the selection of appropriate tactics and tactic-sequences combined with an optimized small-scale hammering approach. We implement the technique as a tactic-level automation for HOL4: TacticToe. It implements a modified A*-algorithm directly in HOL4 that explores different tactic-level proof paths, guiding their selection by learning from a large number of previous tactic-level proofs. Unlike the existing hammer methods, TacticToe avoids translation to FOL, working directly on the HOL level. By combining tactic prediction and premise selection, TacticToe is able to re-prove 39% of 7902 HOL4 theorems in 5 seconds whereas the best single HOL(y)Hammer strategy solves 32% in the same amount of time.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
21st International Conference on Logic for Programming, Artificial Intelligence and Reasoning
ISBN
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ISSN
2398-7340
e-ISSN
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Number of pages
19
Pages from-to
125-143
Publisher name
EasyChair Publications
Place of publication
Manchester
Event location
Maun
Event date
May 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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