Editors:
- Provides the reader with the state-of-the-art in psychological aspects of connectionist modelling
Part of the book series: Perspectives in Neural Computing (PERSPECT.NEURAL)
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Table of contents (30 papers)
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Front Matter
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Neural Basis of Cognition
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Front Matter
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Development and Category Learning
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Front Matter
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Editors and Affiliations
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Quantitative Psychology and Cognitive Science, Department of Psychology (B32), University of Liège, Belgium
Robert M. French, Jacques P. Sougné
Bibliographic Information
Book Title: Connectionist Models of Learning, Development and Evolution
Book Subtitle: Proceedings of the Sixth Neural Computation and Psychology Workshop, Liège, Belgium, 16–18 September 2000
Editors: Robert M. French, Jacques P. Sougné
Series Title: Perspectives in Neural Computing
DOI: https://doi.org/10.1007/978-1-4471-0281-6
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2001
Softcover ISBN: 978-1-85233-354-6Published: 23 March 2001
eBook ISBN: 978-1-4471-0281-6Published: 06 December 2012
Series ISSN: 1431-6854
Edition Number: 1
Number of Pages: XVI, 322
Number of Illustrations: 86 b/w illustrations
Topics: General Psychology, Artificial Intelligence, Health Informatics