Isbn: 9780262522588 - an introduction to natural computation (complex adaptive systems) (25 resultados)

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Paperback. Condición: Very Good. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning models-ranging from neural network learning through reinforcement learning to genetic learning-and situates the various models in their appropriate neural context. To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.…

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Paperback or Softback. Condición: New. An Introduction to Natural Computation. Book.

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Condición: New. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. Series: Complex Adaptive Systems. Num Pages: 336 pages, illustrations. BIC Classification: JMM; JMR; PSAN; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 182 x 255 x 34. Weight in Grams: 652. . 1999. Revised ed. paperback. . . . . …

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Paperback. Condición: Brand New. reprint edition. 304 pages. 9.75x7.00x0.75 inches. In Stock.

Condición: New. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. Series: Complex Adaptive Systems. Num Pages: 336 pages, illustrations. BIC Classification: JMM; JMR; PSAN; UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 182 x 255 x 34. Weight in Grams: 652. . 1999. Revised ed. paperback. . . . . Books ship from the US and Ireland. …

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Condición: New. Print on Demand pp. 336 Reprint edition.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dana H. Ballard is Professor in the Department of Computer Sciences at the University of Texas at Austin, where he has appointments in Psychology, the Institute for Neuroscience, and the Center for Perceptual Systems. He is the author of An Introduction .…

Taschenbuch. Condición: Neu. An Introduction to Natural Computation | Dana H. Ballard | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1999 | MIT Press | EAN 9780262522588 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models.It is now clear that the brain is unlikely to be understood without recourse to computational theories. The theme of An Introduction to Natural Computation is that ideas from diverse areas such as neuroscience, information theory, and optimization theory have recently been extended in ways that make them useful for describing the brains programs. This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models. It stresses the broad spectrum of learning modelsranging from neural network learning through reinforcement learning to genetic learningand situates the various models in their appropriate neural context.To write about models of the brain before the brain is fully understood is a delicate matter. Very detailed models of the neural circuitry risk losing track of the task the brain is trying to solve. At the other extreme, models that represent cognitive constructs can be so abstract that they lose all relationship to neurobiology. An Introduction to Natural Computation takes the middle ground and stresses the computational task while staying near the neurobiology.…