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Table of contents (5 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Learning in Natural and Connectionist Systems
Book Subtitle: Experiments and a Model
Authors: R. Hans Phaf
DOI: https://doi.org/10.1007/978-94-011-0840-9
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 1994
Hardcover ISBN: 978-0-7923-2685-4Published: 31 January 1994
Softcover ISBN: 978-94-010-4362-5Published: 09 October 2012
eBook ISBN: 978-94-011-0840-9Published: 06 December 2012
Edition Number: 1
Number of Pages: XVI, 294
Topics: Complex Systems, Methodology of the Social Sciences, Systems Theory, Control, Neurology, Statistical Physics and Dynamical Systems