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https://dx.doi.org/10.48550/ar...
Article . 2014
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
DBLP
Conference object . 2018
Data sources: DBLP
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ACL2(ml): Machine-Learning for ACL2

Authors: Jónathan Heras; Ekaterina Komendantskaya;

ACL2(ml): Machine-Learning for ACL2

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.

In Proceedings ACL2 2014, arXiv:1406.1238

Country
United Kingdom
Related Organizations
Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, 330, QA75.5-76.95, 004, Logic in Computer Science (cs.LO), name=Software, Electronic computers. Computer science, QA1-939, /dk/atira/pure/subjectarea/asjc/1700/1712, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
gold