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Springer

Learning in Natural and Connectionist Systems: Experiments and a Model

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Product Code: 9789401043625
ISBN13: 9789401043625
Condition: New
$180.44

Learning in Natural and Connectionist Systems: Experiments and a Model

$180.44
 
Modern research in neural networks has led to powerful artificial learning systems, while recent work in the psychology of human memory has revealed much about how natural systems really learn, including the role of unconscious, implicit, memory processes. Regrettably, the two approaches typically ignore each other. This book, combining the approaches, should contribute to their mutual benefit.
New empirical work is presented showing dissociations between implicit and explicit memory performance. Recently proposed explanations for such data lead to a new connectionist learning procedure: CALM (Categorizing and Learning Module), which can learn with or without supervision, and shows practical advantages over many existing procedures. Specific experiments are simulated by a network model (ELAN) composed of CALM modules. A working memory extension to the model is also discussed that could give it symbol manipulation abilities.
The book will be of interest to memory psychologists and connectionists, as well as to cognitive scientists who in the past have tended to restrict themselves to symbolic models.



Author: R. H. Phaf
Publisher: Springer
Publication Date: 41191
Number of Pages: 294 pages
Binding: Reference
ISBN-10: 9401043620
ISBN-13: 9789401043625
 

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