Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists

(Part of the Learning, Development, and Conceptual Change Series)

by Michael Stob, Scott Weinstein, Daniel N. Osherson

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A mathematical framework for the study of learning in a variety of domains. Systems That Learn presents a mathematical framework for the study of learning in a variety of domains. It provides the basic concepts and techniques of learning theory as well as a comprehensive account of what is currently known about a variety of learning paradigms.

Format:Paperback

Language:English

ISBN:026265024X

ISBN13:9780262650243

Release Date:March 1990

Publisher:MIT Press

Length:230 Pages

Weight:0.90 lbs.

Dimensions:0.6" x 5.9" x 8.9"

Age Range:18 years and up

Grade Range:Postsecondary and higher

Related Subjects

Behavioral Sciences Cognitive Psychology Computers & Technology Health, Fitness & Dieting Health, Fitness & Dieting Operating Systems Psychology Psychology & Counseling

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Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists

(Part of the Learning, Development, and Conceptual Change Series)

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