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

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

By: Michael Stob (author), Scott Weinstein (author), Daniel N. Osherson (author), Jeffrey S. Rosenschein (editor)Paperback

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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.

About Author

Daniel N. Osherson is at MIT. Michael Stob at Calvin College. Scott Weinstein is at MIT. Jeffrey Rosenschein is the Sam and Will Strauss Professor of Computer Science at the Hebrew University of Jerusalem.

Product Details

  • ISBN13: 9780262650243
  • Format: Paperback
  • Number Of Pages: 205
  • ID: 9780262650243
  • weight: 413
  • ISBN10: 026265024X

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