Osherson, Daniel N. <br/><br/>
Systems that learn :   an introduction to learning theory for cognitive and computer scientist /  
Daniel N. Osherson, Michael Stob, Scott Weinstein. 
 - Cambridge:  MIT,  1986 
 - 205 p. 
 - A Bradford book .
<br/><br/>CONTENIDO<br/>I. IDENTIFICATION 5<br/>1. Fundamentals of learning theory 7<br/>2. Central theorems on identification 25<br/>3. Learning theory and natural lenguage 34<br/>II. IDENTIFICATION GENERALIZED 43<br/>4. Strategies 45<br/>5. Environments 96<br/>6. Criteria of learning 119<br/>7. Exact learning 152<br/>III. OTHER PARADIGMS OF LEARNING 165<br/>8. Efficient learning 167<br/>9. Sufficient input for learning 178<br/>10. Topological perspective on learning 182<br/>Bibliography 195 
<br/><br/><label>ISBN: </label>0262150301 
<br/><br/><label>Subjects--Topical Terms: </label><br/>PSICOLOGIA DEL APRENDIZAJE<br/>APRENDIZAJE-ASPECTOS MATEMATICOS<br/>TEORIA DEL APRENDIZAJE<br/>LEARNING THEORY<br/>NATURAL LANGUAGE<br/>EXACT LEARNING
<br/><br/><label>Universal Decimal Class. No.: </label>159.953 OS4