ACL2(ml): machine-learning for ACL2

Jónathan Heras, Ekaterina Komendantskaya

Research output: Contribution to journalArticle

2 Citations (Scopus)
166 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
Pages (from-to)61-75
Number of pages15
JournalElectronic Proceedings in Theoretical Computer Science
Volume152
DOIs
Publication statusPublished - 4 Jun 2014
Event12th International Workshop on the ACL2 Theorem Prover and Its Applications - Vienna, Austria
Duration: 12 Jul 201413 Jul 2014
http://www.easychair.org/smart-program/VSL2014/ACL2-index.html

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