Computational Mind: A Complex Dynamics Perspective
By: Ivancevic, Vladimir G [author.].
Contributor(s): Ivancevic, Tijana T [author.] | SpringerLink (Online service).
Material type:
BookSeries: Studies in Computational Intelligence: 60Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.Description: XII, 692 p. 108 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540715610.Subject(s): Medicine | Neurosciences | Artificial intelligence | Statistical physics | Dynamical systems | Applied mathematics | Engineering mathematics | Cognitive psychology | Biomedicine | Neurosciences | Appl.Mathematics/Computational Methods of Engineering | Statistical Physics, Dynamical Systems and Complexity | Artificial Intelligence (incl. Robotics) | Cognitive PsychologyDDC classification: 612.8 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK10115 |
Introduction: Human and Computational Mind -- Chaotic Brain/Mind Dynamics -- Quantum Computational Mind.
Computational Mind: A Complex Dynamics Perspective is a graduate–level monographic textbook in the field of Computational Intelligence. It presents a modern dynamical theory of the computational mind, combining cognitive psychology, artificial and computational intelligence, and chaos theory with quantum consciousness and computation. The book introduces to human and computational mind, comparing and contrasting main themes of cognitive psychology, artificial and computational intelligence. It presents brain/mind dynamics from the chaos theory perspective, including sections on chaos in human EEG, basics of nonlinear dynamics and chaos, techniques of chaos control, synchronization in chaotic systems and complexity in humanoid robots. This book presents modern theory of quantum computational mind, including sections on Dirac–Feynman quantum dynamics, quantum consciousness, and quantum computation using Josephson junctions. The book is designed as a one–semester course for computer scientists, engineers, physicists and applied mathematicians, both in industry and academia. It includes a strong bibliography on the subject and detailed index.
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