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Identifying nearly minimal Gödel numbers from additional information

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Algorithmic Learning Theory (AII 1994, ALT 1994)

Abstract

A new identification type close to the identification of minimal Gödel numbers is considered. The type is defined by allowing as input both the graph of the target function and an arbitrary upper bound of the minimal index of the target function in a Gödel numbering of all partial recursive functions. However, the result of the inference has to be bounded by a fixed function from the given bound. Results characterizing the dependence of this identification type from the underlying Gödel numbering are obtained. In particular, it is shown that for a wide class of Gödel numberings, the class of all recursive functions can be identified even for “small” bounding functions.

The research by the first author was supported by Latvian Science Council Grant No.93.599

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Setsuo Arikawa Klaus P. Jantke

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© 1994 Springer-Verlag Berlin Heidelberg

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Freivalds, R., Botuscharov, O., Wiehagen, R. (1994). Identifying nearly minimal Gödel numbers from additional information. In: Arikawa, S., Jantke, K.P. (eds) Algorithmic Learning Theory. AII ALT 1994 1994. Lecture Notes in Computer Science, vol 872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58520-6_56

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  • DOI: https://doi.org/10.1007/3-540-58520-6_56

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58520-6

  • Online ISBN: 978-3-540-49030-2

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