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Connectionist Models of Learning, Development and Evolution
. Ed(S): French, Robert M.; Sougne, Jacques P.
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Description for Connectionist Models of Learning, Development and Evolution
Paperback. 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.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2001
Publisher
Springer London Ltd United Kingdom
Number of pages
322
Condition
New
Series
Perspectives in Neural Computing
Number of Pages
322
Place of Publication
England, United Kingdom
ISBN
9781852333546
SKU
V9781852333546
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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