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)).
Supported by Grant No. 93-599 from Latvian Councile of Science
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© 1994 Springer-Verlag Berlin Heidelberg
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Apsītis, K. (1994). Derived sets and inductive inference. In: Arikawa, S., Jantke, K.P. (eds) Algorithmic Learning Theory. AII ALT 1994 1994. Lecture Notes in Computer Science, vol 872. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58520-6_51
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DOI: https://doi.org/10.1007/3-540-58520-6_51
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