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Systems that Learn – An Intro to Learning Theory for Cognittive & Computer Science: An Introduction to Learning Theory for Cognitive and Computer Scientists - Softcover
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.
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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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Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Learning, Development, and Conceptual Change)
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Systems That Learn : An Introduction to Learning Theory for Cognitive and Computer Scientists
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Systems That Learn
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Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Paperback or Softback)
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MIT Press 3/14/1990, 1990
ISBN 10: 026265024X
ISBN 13: 9780262650243
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Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists (Learning, Development, and Conceptual Change)
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