ACL2(ml): Machine-Learning for ACL2

Jonathan Heras, Ekaterina Komendantskaya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
31 Downloads (Pure)

Abstract

ACL2(ml) is an extension for the Emacs interface of ACL2. This tool uses machine-learning to help the ACL2 user during the proof-development. Namely, ACL2(ml) gives hints to the user in the form of families of similar theorems, and generates auxiliary lemmas automatically. In this paper, we present the two most recent extensions for ACL2(ml). First, ACL2(ml) can suggest now families of similar function definitions, in addition to the families of similar theorems. Second, the lemma generation tool implemented in ACL2(ml) has been improved with a method to generate preconditions using the guard mechanism of ACL2. The user of ACL2(ml) can also invoke directly the latter extension to obtain preconditions for his own conjectures.

Original languageEnglish
Title of host publicationProceedings Twelfth International Workshop on the ACL2 Theorem Prover and its Applications (ACL2 2014)
EditorsFreek Verbeek, Julien Schmaltz
PublisherOpen Publishing Association
Pages61-75
Number of pages15
DOIs
Publication statusPublished - 2014
Event12th International Workshop on the ACL2 Theorem Prover and its Applications 2014 - Vienna, Austria
Duration: 12 Jul 201413 Jul 2014

Publication series

NameElectronic Proceedings in Theoretical Computer Science
PublisherOpen Publishing Association
Volume152
ISSN (Print)2075-2180

Workshop

Workshop12th International Workshop on the ACL2 Theorem Prover and its Applications 2014
CountryAustria
CityVienna
Period12/07/1413/07/14

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