IdMAT and LIndA enable learning any regular language consistent with an incomplete inductive teacher by reducing uncertainties to incremental SAT solving for tasks like language separation and invariant synthesis.
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The authors perform and analyze three reformalizations of the Jordan Curve Theorem from Mizar to Lean, HOL Light to Lean, and HOL Light to Agda.
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Automata Learning with an Incomplete but Inductive Teacher (Technical Report)
IdMAT and LIndA enable learning any regular language consistent with an incomplete inductive teacher by reducing uncertainties to incremental SAT solving for tasks like language separation and invariant synthesis.