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Ideal Learning Machines *
Author(s) -
Osherson Daniel N.,
Stob Michael,
Weinstein Scott
Publication year - 1982
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog0603_3
Subject(s) - ideal (ethics) , computer science , artificial intelligence , context (archaeology) , epistemology , philosophy , paleontology , biology
We examine the prospects for finding “best possible” or “ideal” computing machines for various learning tasks. For this purpose, several precise senses of “ideal machine” are considered within the context of formal learning theory. Generally negative results are provided concerning the existence of ideal learning‐machines in the senses considered.

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