Derived Sets and Inductive Inference

Abstract

The paper deals with using topological concepts in studies of the Gold paradigm of inductive inference. They are — accumulation points, derived sets of order α ( α — constructive ordinal) and compactness. Identifiability of a class U of total recursive functions with a bound α on the number of mindchanges implies $U^{(\alpha + 1)} = \not 0$ . This allows to construct counter-examples — recursively enumerable classes of functions showing the proper inclusion between identification types: EX _α⊂ EX _α+1. The presence of an accumulation point in a class W determines whether or not all FIN strategies can be split into two families so that any finite team identifying W contains strategies from both families. A combinatorial idea, used to show the absence of such a splitting in the case when the derived set $W^d = \not 0$ , leads to new identification types (FIN(2: *), etc.) which may be irreducible to the team identification types (e. g. FIN( k: m )).

Cite

Text

Apsitis. "Derived Sets and Inductive Inference." International Conference on Algorithmic Learning Theory, 1994. doi:10.1007/3-540-58520-6_51

Markdown

[Apsitis. "Derived Sets and Inductive Inference." International Conference on Algorithmic Learning Theory, 1994.](https://mlanthology.org/alt/1994/apsitis1994alt-derived/) doi:10.1007/3-540-58520-6_51

BibTeX

@inproceedings{apsitis1994alt-derived,
  title     = {{Derived Sets and Inductive Inference}},
  author    = {Apsitis, Kalvis},
  booktitle = {International Conference on Algorithmic Learning Theory},
  year      = {1994},
  pages     = {26-39},
  doi       = {10.1007/3-540-58520-6_51},
  url       = {https://mlanthology.org/alt/1994/apsitis1994alt-derived/}
}