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

Rating
2 Ratings by Goodreads
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Format
Paperback, 205 pages
Published
United States, 1 March 1990

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.


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Product Description

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.

Product Details
EAN
9780262650243
ISBN
026265024X
Publisher
Other Information
Illustrated
Dimensions
22.6 x 15 x 1.5 centimetres (0.41 kg)

Promotional Information

" 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

Promotional Information

" 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

About the Author

Daniel N. Osherson is at MIT. Michael Stob at Calvin College. Scott Weinstein is at MIT.

Reviews

" 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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