Presents neural network modelling in the areas of evolution, learning, and development. This book, organized in six sections, covers the neural basis of cognition; development and category learning; implicit learning; social cognition; and, semantics. It also covers artificial intelligence, mathematics, psychology, neurobiology, and philosophy. Editor(s): French, Robert M.; Sougne, Jacques P. Series: Perspectives in Neural Computing. Num Pages: 322 pages, 86 black & white illustrations, biography. BIC Classification: JMAQ; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 21. Weight in Grams: 522. . 2001. Softcover reprint of the original 1st ed. 2001. Paperback. . . . .

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Bibliographic Details

Title: Connectionist Models of Learning, Development and Evolution
Publisher: Springer London Ltd
Publication Date: 2001
Language: English
ISBN 10: 1852333545
ISBN 13: 9781852333546
Binding: Soft cover
Condition: New

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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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