Title
Learning in Friedberg numberings
Abstract
In this paper we consider learnability in some special numberings, such as Friedberg numberings, which contain all the recursively enumerable languages, but have simpler grammar equivalence problem compared to acceptable numberings. We show that every explanatorily learnable class can be learnt in some Friedberg numbering. However, such a result does not hold for behaviourally correct learning or finite learning. One can also show that some Friedberg numberings are so restrictive that all classes which can be explanatorily learnt in such Friedberg numberings have only finitely many infinite languages. We also study similar questions for several properties of learners such as consistency, conservativeness, prudence, iterativeness and non-U-shaped learning. Besides Friedberg numberings, we also consider the above problems for programming systems with K-recursive grammar equivalence problem.
Year
DOI
Venue
2008
10.1016/j.ic.2008.03.001
Information & Computation
Keywords
Field
DocType
explanatorily learnt,friedberg numbering,explanatorily learnable class,acceptable numberings,friedberg numberings,k-recursive grammar equivalence problem,non-u-shaped learning,behaviourally correct learning,finite learning,special numberings
Numbering,Discrete mathematics,Computer science,Recursively enumerable language,Friedberg numbering,Grammar,Equivalence (measure theory),Artificial intelligence,Learnability,Machine learning
Journal
Volume
Issue
ISSN
206
6
Information and Computation
Citations 
PageRank 
References 
7
0.48
24
Authors
2
Name
Order
Citations
PageRank
Sanjay Jain11647177.87
Frank Stephan221539.36