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Theoretical Computer Science
Volume 348, Issue 1, 2 December 2005, Pages 41-57
Algorithmic Learning Theory (ALT 2000)
 
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doi:10.1016/j.tcs.2005.09.001    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Learning erasing pattern languages with queries

Jochen Nessela, E-mail The Corresponding Author and Steffen Langeb, Corresponding Author Contact Information, E-mail The Corresponding Author

aUniversität Kaiserslautern, Fachbereich Informatik, Postfach 3049, 67653 Kaiserslautern, Germany bFachhochschule Darmstadt, Fachbereich Informatik, Haardtring 100, 64295 Darmstadt, Germany

Available online 4 October 2005.

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Abstract

A pattern is a finite string of constant and variable symbols. The non-erasing language generated by a pattern is the set of all strings of constant symbols that can be obtained by substituting non-empty strings for variables. In order to build the erasing language generated by a pattern, it is also admissible to substitute the empty string.

The present paper deals with the problem of learning erasing pattern languages within Angluin's model of learning with queries. Moreover, the learnability of erasing pattern languages with queries is studied when additional information is available. The results obtained are compared with previously known results in case non-erasing pattern languages have to be learned.

First, when regular pattern languages have to be learned, it is shown that the learnability results for the non-erasing case remain valid, if the proper superclass of all erasing regular pattern languages is the object of learning. Second, in the general case, serious differences have been observed. For instance, it turns out that arbitrary erasing pattern languages cannot be learned in settings in which, in the non-erasing case, even polynomially many queries will suffice.

Keywords: Formal language theory; Algorithmic learning; Query inference


Theoretical Computer Science
Volume 348, Issue 1, 2 December 2005, Pages 41-57
Algorithmic Learning Theory (ALT 2000)
 
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