Systems that learn: An introduction to learning theory for cognitive and computer scientists (The MIT Press series in learning, development, and conceptual change)
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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