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Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries

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Algorithmic Learning Theory (ALT 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1501))

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Abstract

We investigate the learning problem of unary output two-tape non deterministic finite automata (unary output 2-tape NFAs) from multiplicity and equivalence queries. Given an alphabet A and a unary alphabet x, a unary output 2-tape NFA accepts a subset of AA *xx *. In [6] Bergadano and Varricchio proved that the behavior of an unknown automaton with multiplicity in a field K (K-automaton) is exactly identifiable when multiplicity and equivalence queries are allowed. In this paper multiplicity automata are used to prove the learnability of unary output 2-tape NFA’s. We shall identify the behavior of a unary output 2-tape NFA using an automaton with multiplicity in K rat 〈〈x〉〉. We provide an algorithm which is polynomial in the size of this automaton.

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© 1998 Springer-Verlag Berlin Heidelberg

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Melideo, G., Varricchio, S. (1998). Learning Unary Output Two-Tape Automata from Multiplicity and Equivalence Queries. In: Richter, M.M., Smith, C.H., Wiehagen, R., Zeugmann, T. (eds) Algorithmic Learning Theory. ALT 1998. Lecture Notes in Computer Science(), vol 1501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49730-7_7

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  • DOI: https://doi.org/10.1007/3-540-49730-7_7

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  • Print ISBN: 978-3-540-65013-3

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