The FGLM algorithm, which stands for "Feldman, Gilg, Lichtenstein, and Maler" algorithm, is primarily a method used in the field of computational intelligence and learning theory, specifically focused on learning finite automata. The FGLM algorithm is designed to infer the structure of a finite automaton from a given set of input-output pairs (also known as labeled sequences).
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