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If we try to describe real world in mathematical terms, we will see that real life is very often a high–dimensional chaos. Sometimes, by ‘pushing hard’, we manage to make order out of it; yet sometimes, we need simply to accept our life as it is. To be able to still live successfully, we need tounderstand, predict, and ultimately control this high–dimensional chaotic dynamics of life. This is the main theme of the present book. In our previous book, Geometrical - namics of Complex Systems, Vol. 31 in Springer book series Microprocessor– Based and Intelligent Systems Engineering, we developed the most powerful mathematical machinery to deal with high–dimensional nonlinear dynamics. In the present text, we consider the extreme cases of nonlinear dynamics, the high–dimensional chaotic and other attractor systems. Although they might look as examples of complete disorder – they still represent control systems, with their inputs, outputs, states, feedbacks, and stability. Today, we can see a number of nice books devoted to nonlinear dyn- ics and chaos theory (see our reference list). However, all these books are only undergraduate, introductory texts, that are concerned exclusively with oversimpli?ed low–dimensional chaos, thus providing only an inspiration for the readers to actually throw themselves into the real–life chaotic dynamics.

Mechanics, Analytic. --- Dynamics. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Analytical mechanics --- System theory. --- Mathematical physics. --- Engineering mathematics. --- Biomedical engineering. --- Statistical physics. --- Complex Systems. --- Systems Theory, Control. --- Mathematical Methods in Physics. --- Mathematical and Computational Engineering. --- Biomedical Engineering and Bioengineering. --- Statistical Physics and Dynamical Systems. --- Mathematical statistics --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Engineering analysis --- Mathematical analysis --- Physical mathematics --- Systems, Theory of --- Systems science --- Science --- Statistical methods --- Philosophy --- Systems theory. --- Dynamical systems. --- Physics. --- Applied mathematics. --- Natural philosophy --- Philosophy, Natural --- Physical sciences --- Dynamics

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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.

Computational intelligence. --- Dynamics. --- Cognitive psychology. --- Chaotic behavior in systems. --- Intelligence informatique --- Dynamique --- Psychologie cognitive --- Chaos --- Computational intelligence --- Dynamics --- Cognitive psychology --- Chaotic behavior in systems --- Applied Mathematics --- Civil Engineering --- Computer Science --- Engineering & Applied Sciences --- Civil & Environmental Engineering --- Dynamical systems --- Kinetics --- Intelligence, Computational --- Chaos in systems --- Chaos theory --- Chaotic motion in systems --- Psychology, Cognitive --- Medicine. --- Neurosciences. --- Artificial intelligence. --- Statistical physics. --- Dynamical systems. --- Applied mathematics. --- Engineering mathematics. --- Biomedicine. --- Appl.Mathematics/Computational Methods of Engineering. --- Statistical Physics, Dynamical Systems and Complexity. --- Artificial Intelligence (incl. Robotics). --- Cognitive Psychology. --- Cognitive science --- Psychology --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Mechanics, Analytic --- Force and energy --- Mechanics --- Physics --- Statics --- Mathematical statistics --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Pathology --- Physicians --- Statistical methods --- Artificial intelligence --- Soft computing --- Differentiable dynamical systems --- Nonlinear theories --- System theory --- Consciousness. --- Mathematical and Computational Engineering. --- Complex Systems. --- Artificial Intelligence. --- Statistical Physics and Dynamical Systems. --- Apperception --- Mind and body --- Perception --- Philosophy --- Spirit --- Self

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Mathematical physics --- Human biochemistry --- Engineering sciences. Technology --- Computer science --- medische biochemie --- analyse (wiskunde) --- biochemie --- informatica --- systeemtheorie --- wiskunde --- systeembeheer --- ingenieurswetenschappen --- fysica

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Cognitive psychology --- Neuropathology --- Engineering sciences. Technology --- Computer science --- Artificial intelligence. Robotics. Simulation. Graphics --- neurologie --- analyse (wiskunde) --- informatica --- cognitieve psychologie --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots

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If we try to describe real world in mathematical terms, we will see that real life is very often a high-dimensional chaos. Sometimes, by ˜pushing hard', we manage to make order out of it; yet sometimes, we need simply to accept our life as it is. To be able to still live successfully, we need tounderstand, predict, and ultimately control this high-dimensional chaotic dynamics of life. This is the main theme of the present book. In our previous book, Geometrical - namics of Complex Systems, Vol. 31 in Springer book series Microprocessor- Based and Intelligent Systems Engineering, we developed the most powerful mathematical machinery to deal with high-dimensional nonlinear dynamics. In the present text, we consider the extreme cases of nonlinear dynamics, the high-dimensional chaotic and other attractor systems. Although they might look as examples of complete disorder - they still represent control systems, with their inputs, outputs, states, feedbacks, and stability. Today, we can see a number of nice books devoted to nonlinear dyn- ics and chaos theory (see our reference list). However, all these books are only undergraduate, introductory texts, that are concerned exclusively with oversimpli?ed low-dimensional chaos, thus providing only an inspiration for the readers to actually throw themselves into the real-life chaotic dynamics.

Mathematical physics --- Human biochemistry --- Engineering sciences. Technology --- Computer science --- medische biochemie --- analyse (wiskunde) --- biochemie --- informatica --- systeemtheorie --- wiskunde --- systeembeheer --- ingenieurswetenschappen --- fysica