Learning regular sets from queries and counterexamples
Information and Computation
Efficient Algorithms for the Inference of Minimum Size DFAs
Machine Learning
On the Synthesis of Finite-State Machines from Samples of Their Behavior
IEEE Transactions on Computers
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The general goal of query-based learning algorithms for finite-state machines is to identify a machine, usually of minimum size, that agrees with an a priori fixed (class of) machines. For this, queries on how the underlying system behaves may be issued.