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Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Learning, Development, and Conceptual Change).

Osherson, Daniel N. & Scott Weinstein.

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ISBN 10: 026265024X / ISBN 13: 9780262650243
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Cambridge, MA:. The MIT Press, 1990. Paperback. 205 pp.- 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. English text. Condition : as new. Condition : as new copy. ISBN 9780262650243[KEYWORDS: computer studies, nopictures, Buchnummer des Verkäufers 263408

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Bibliografische Details

Titel: Systems That Learn: An Introduction to ...

Einband: Soft cover

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Inhaltsangabe:

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.

Daniel N. Osherson and Scott Weinstein are at MIT, and Michael Stob at Calvin College.

Review:

Systems That Learn is a book that has much to offer... Osherson, Stob, and Weinstein provide an interesting contrast to most of the learning work done either in psychology or artificial intelligence.

(Contemporary Psychology)

This is highly original and interesting research. Systems That Learn is an important addition to human knowledge and an incipient classic.

(Steven Pinker, MIT)

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