205 pp., Paperback, previous owner's name to title page else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

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Bibliographic Details

Title: Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Learning, Development, and Conceptual Change)
Publisher: A Bradford Book
Publication Date: 1990
Language: English
ISBN 10: 026265024X
ISBN 13: 9780262650243
Binding: Soft cover
Condition: Very Good

About this title

Synopsis

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.

About the Authors

Daniel N. Osherson is at MIT.

Michael Stob at Calvin College.

Scott Weinstein is at MIT.

"About this title" may belong to another edition of this title.

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