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Mechanisms of Implicit Learning: Connectionist Models of Sequence Processing Hardcover – April 13, 1993

ISBN-13: 978-0262032056 ISBN-10: 0262032058 Edition: 1st
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Editorial Reviews

Review

This is a major book for two reasons. First, the model succeeds quite well in capturing the data patterns of several experiments in which subjects engage in a sequential reaction time task. It will be viewed as the standard model of the task and, hence, will likely be a source of a great deal of future research. The second reason is that it is an excellent example of using a connectionist or neural network model as theory in cognitive science. The model makes use of a popular class of networks pioneered by Jordan and Elman, but unlike most of the work with these networks, Cleereman's work fits the networks' behavior to a great deal of experimental data.

(Gary Dell, University of Illinois)

There have been no well-developed theories of implicit learning and no computational models of the phenomenon. Cleeremans's book changes that. He presents a detailed computational model of the implicit learning of sequential stimuli that will be important to the field because it has a great deal of predictive power. In addition, the book provides a valuable survey. The review sections are comprehensive and detailed. Cleeremans's writing style is a delight.

(Jeffrey Elman, University of California, San Diego)

For some time now, implicit learning has been a phenomenon in search of a theory. Cleeremans takes the first important step in providing a formal model based on connectionist theory. His penetrating analysis now becomes the standard against which others will be judged.

(Arthur S. Reber, Professor of Psychology, Brooklyn College and the Graduate Center of the City University of New York)

About the Author

Axel Cleeremans is a Senior Research Assistant at the National Fund for Scientific Research, Belgium.
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