On the amount of nonconstructivity in learning formal languages from text

Information and Computation(2021)

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摘要
Nonconstructive computations by various types of machines and automata have been considered by, for example, Karp and Lipton as well as Freivalds. They allow to regard more complicated algorithms from the viewpoint of much more primitive computational devices. The amount of nonconstructivity is a quantitative characterization of the distance between types of computational devices with respect to solving a specific problem.
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关键词
Inductive inference,Learning in the limit,Non-constructivity,Formal languages
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