Osherson, Daniel N., <br/><br/>
Systems that learn :  an introduction to learning theory for cognitive and computer scientists / 
Daniel N. Osherson, Michael Stob, Scott Weinstein. 
 - 1 PDF (ix, 205 pages). 
 - Learning, development, and conceptual change .
 - Learning, development, and conceptual change .
<br/><br/> "A Bradford book."  Includes indexes. 
<br/><br/>Includes bibliographical references (p. )[195]-197. 
<br/><br/> Restricted to subscribers or individual electronic text purchasers. 
<br/><br/> 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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<br/><br/><br/>Mode of access: World Wide Web 
<br/><br/><label>ISBN: </label>9780262256742 
<br/><br/><label>LCCN: </label>
<br/><br/><label>Subjects--Topical Terms: </label><br/>Learning--Mathematical models.<br/>Learning, Psychology of.<br/>Human information processing--Mathematical models.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>BF318  / .O83 1986eb 
<br/><br/><label>Dewey Class. No.: </label>153.1/5/015113