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A three-layer configural cue model of category learning rates

Bartos, P. and Le Voi, Martin (2001). A three-layer configural cue model of category learning rates. In: French, Robert M. and Sougné, Jacques P. eds. Connectionist models of learning, development and evolution: Proceedings of the Sixth Neural Computation and Psychology Workshop, Liege, Belgium, 16-18 September 2000. Perspectives in Neural Computing. UK: Springer-Verlag UK, pp. 143–152.

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Abstract

About the book: Connectionist Models of Learning, Development and Evolution comprises a selection of papers presented at the Sixth Neural Computation and Psychology Workshop - the only international workshop devoted to connectionist models of psychological phenomena.
With a main theme of neural network modelling in the areas of evolution, learning, and development, the papers are organized into six sections:
The neural basis of cognition
Development and category learning.
Implicit learning
Social cognition Evolution
Semantics
Covering artificial intelligence, mathematics, psychology, neurobiology, and philosophy, it will be an invaluable reference work for researchers and students working on connectionist modelling in computer science and psychology, or in any area related to cognitive science.

Item Type: Book Chapter
ISBN: 1-85233-354-5, 978-1-85233-354-6
Keywords: artificial intelligence; cognitive science; connectionist models; neural networks; psychological modelling
Academic Unit/Department: Social Sciences > Psychology in the Social Sciences
Item ID: 3691
Depositing User: Users 13 not found.
Date Deposited: 28 Jun 2006
Last Modified: 02 Dec 2010 19:50
URI: http://oro.open.ac.uk/id/eprint/3691
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