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I&C 2016

Enlarging learnable classes

Journal Article journal-article Computer Science · Theoretical Computer Science

Abstract

We study which classes of recursive functions satisfy that their union with any other explanatorily learnable class of recursive functions is again explanatorily learnable. We provide sufficient criteria for classes of recursive functions to satisfy this property and also investigate its effective variants. Furthermore, we study the question which learners can be effectively extended to learn a larger class of functions. We solve an open problem by showing that there is no effective procedure which does this task on all learners which do not learn a dense class of recursive functions. However, we show that there are two effective extension procedures such that each learner is extended by one of them.

Authors

Keywords

  • Inductive inference
  • Learning in the limit
  • Total recursive functions
  • Non-union theorem

Context

Venue
Information and Computation
Archive span
1987-2026
Indexed papers
3021
Paper id
689408330756036347
v2026.09.13