Title
The complexity of learning linear temporal formulas from examples.
Abstract
In this paper we initiate the study of the computational complexity of learning linear temporal logic (LTL) formulas from examples. We construct approximation algorithms for fragments of LTL and prove hardness results; in particular we obtain tight bounds for approximation of the fragment containing only the next operator and conjunctions, and prove NP-completeness results for many fragments.
Year
Venue
DocType
2021
International Conference on Grammatical Inference (ICGI)
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Nathanaël Fijalkow16119.71
Guillaume Lagarde211.73