Ideal learning machines

Daniel N. Osherson; Michael Stob; Scott Weinstein

doi:10.1016/S0364-0213(82)80003-7

Ideal learning machines

Daniel N. Osherson, Michael Stob, Scott Weinstein

Psychology

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	277-290
Number of pages	14
Journal	Cognitive science
Volume	6
Issue number	3
DOIs	https://doi.org/10.1016/S0364-0213(82)80003-7
State	Published - 1982

All Science Journal Classification (ASJC) codes

Experimental and Cognitive Psychology
Cognitive Neuroscience
Artificial Intelligence

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10.1016/S0364-0213(82)80003-7

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title = "Ideal learning machines",

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AU - Osherson, Daniel N.

AU - Stob, Michael

AU - Weinstein, Scott

PY - 1982

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AB - 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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DO - 10.1016/S0364-0213(82)80003-7

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JO - Cognitive science

JF - Cognitive science

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Ideal learning machines

Abstract

All Science Journal Classification (ASJC) codes

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