Ideal learning machines

Daniel N. Osherson, Michael Stob, Scott Weinstein

Research output: Contribution to journalArticle

14 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)277-290
Number of pages14
JournalCognitive science
Volume6
Issue number3
DOIs
StatePublished - 1982

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Artificial Intelligence

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    Osherson, D. N., Stob, M., & Weinstein, S. (1982). Ideal learning machines. Cognitive science, 6(3), 277-290. https://doi.org/10.1016/S0364-0213(82)80003-7