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The Psychology of Associative Learning
Contributor(s): Shanks, David R. (Author)
ISBN: 0521449766     ISBN-13: 9780521449762
Publisher: Cambridge University Press
OUR PRICE:   $41.79  
Product Type: Paperback - Other Formats
Published: September 1995
Qty:
Annotation: It is hard to think of any significant aspect of our lives that is not influenced by what we have learned in the past. Of fundamental importance is our ability to learn the ways in which events are related to one another, called associative learning. This book provides a fresh look at learning theory and reviews extensively the field of human associative learning and the advances made over the past twenty years. The Psychology of Associative Learning begins by establishing that the human associative learning system is rational in the sense that it accurately represents event relationships. David Shanks goes on to consider the informational basis of learning, in terms of the memorisation of instances, and discusses at length the application of connectionist models to human learning. The book concludes with an evaluation of the rule of induction in associative learning. This will be essential reading for graduate students and final year undergraduates of psychology.
Additional Information
BISAC Categories:
- Psychology | Cognitive Psychology & Cognition
Dewey: 153.152
LCCN: 95003429
Series: Problems in the Behavioural Sciences
Physical Information: 0.45" H x 6.02" W x 8.95" (0.65 lbs) 208 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
It is hard to think of any significant aspect of our lives that is not influenced by what we have learned in the past. Of fundamental importance is our ability to learn the ways in which events are related to one another, called associative learning. This book provides a fresh look at associative learning theory and reviews extensively the advances made over the past twenty years. The Psychology of Associative Learning begins by establishing that the human associative learning system is rational in the sense that it accurately represents event relationships. David Shanks goes on to consider the informational basis of learning, in terms of the memorization of instances, and discusses at length the application of connectionist models to human learning. The book concludes with an evaluation of the role of rule induction in associative learning. This will be essential reading for graduate students and researchers in psychology and the behavioral sciences.