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.

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