摘要：

Recent studies have suggested the applicability of learning to automated compositional verification. However, current learning al- gorithms fall short when it comes to learning liveness properties. We extend the automaton synthesis paradigm for the infinitary languages by presenting an algorithm to learn an arbitrary regular set of infinite sequences (an ω-regular language) over an alphabet Σ. Our main result is an algorithm to learn a nondeterministic Bu¨chi automaton that recog- nizes an unknown ω-regular language. This is done by learning a unique projection of it on Σ using the framework suggested by Angluin for learning regular subsets of Σ.

展开