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|a 9781447102816 (electronic bk.)
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|a French, Robert M.
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|a Connectionist Models of Learning, Development and Evolution :
|b Proceedings of the Sixth Neural Computation and Psychology Workshop, Liège, Belgium, 16-18 September 2000 /
|c edited by Robert M. French, Jacques P. Sougné.
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| 264 |
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|a London :
|b Springer London :
|b Imprint :
|b Springer,
|c 2001.
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|a Perspectives in Neural Computing, 1431-6854
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|a From the contents: Section I: Neural Basis of Cognition -- 2. Pseudopatterns and Dual-network Memory Models: Advantages Section II: Development and Category Learning -- Section III: Implicit Learning -- Section IV: Social Cognition -- Section V: Evolution -- Section VI: Semantics.
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| 520 |
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|a 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.
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|a Perspectives in neural computing.
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|u http://proxy.library.tamu.edu/login?url=https://link.springer.com/10.1007/978-1-4471-0281-6
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