Abstract
On the basis of the well known pumping lemma for regular languages we define such a partial function f: \({\mbox{I\!N}} \rightarrow{\mbox{I\!N}}\) that for every e it yields the least pumping constant for the language W e . We ask whether f is computable. Not surprisingly f turns out to be non-computable. Then we check whether f is algorithmically learnable. This is also proved not to be the case. Further we investigate how powerful oracle is necessary to actually learn f. We prove that f is learnable in 0′. We also prove some facts relating f to arithmetical hierarchy.
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References
Cutland, N.: Computability, an Introduction to Recursive Function Theory. Cambridge University Press (1980)
Gold, E.M.: Limiting recursion. J. Symbolic Logic 30, 28–48 (1965)
Gold, E.M.: Language identification in the limit. Information and Control 10, 447–474 (1967)
Hopcroft, J.E., Ullman, J.D.: Introduction to Automata Theory, Languages and Computation. Addison-Wesley, Cambridge (1979)
Putnam, H.: Trial and error predicates and the solution to a problem of Mostowski. J. Symbolic Logic 30, 49–57 (1965)
Shoenfield, J.R.: Recursion Theory. Lecture Notes in Logic, vol. 1. Springer, Berlin (1993)
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Kalociński, D. (2014). On Computability and Learnability of the Pumping Lemma Function. In: Dediu, AH., Martín-Vide, C., Sierra-Rodríguez, JL., Truthe, B. (eds) Language and Automata Theory and Applications. LATA 2014. Lecture Notes in Computer Science, vol 8370. Springer, Cham. https://doi.org/10.1007/978-3-319-04921-2_35
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DOI: https://doi.org/10.1007/978-3-319-04921-2_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04920-5
Online ISBN: 978-3-319-04921-2
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