Thinking in Complexity: The Computational Dynamics of Matter, Mind, and Mankind (Google eBook)

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Springer Science & Business Media, Sep 7, 2007 - Science - 482 pages
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The theory of nonlinear, complex systems has become by now a proven problem-solving approach in the natural sciences. And it is now also recognized that many if not most of our social, ecological, economical and political problems are essentially of a global, complex and nonlinear nature. And it is now further accepted than any holistic perspective of the human mind and brain can hardly be achieved by any other approach. In this wide-ranging, scholarly but very concise treatment, physicist, computer scientist and philosopher Klaus Mainzer discusses, in essentially nontechnical language, the common framework behind these ideas and challenges. Emphasis is given to the evolution of new structures in natural and cultural systems and we are lead to see clearly how the new integrative approach can give insights not available from traditional reductionistic methods. The fifth edition enlarges and revises almost all sections and supplements an entirely new chapter on the complexity of economic systems.

From the reviews of the fourth edition:

"This book is ambitious, incredibly erudite with 22 pages of references, and is indisputably clearly and beautifully written and illustrated. It is perfectly suited to a first course on the science of complexity. Even beginners and young graduate students will have something to learn from this book." (Andre Hautot, Physicalia, Vol. 57 (3), 2005)

"All-in-all, this highly recommended book is a wonderful resource for intuitive basic ideas in the need of rigorous formulation." (Albert A. Mullin, Zentralblatt MATH, vol. 1046, 2004)

"Readers of this book will enjoy Mainzer's exposition, which is based on a tight coupling between classical and historical concepts from Plato and Aristotle to modern, mathematical and physical developments  . Every chapter begins with a section designed to orient the reader to the perspective of philosophical developments through the ages pertinent to the topic at hand.  The author takes pains to point out essential differences between classical science and the science of complexity. Thinking in Complexity is an outstandingly readable book." (Anutosh Moitra, The Industrial Physicist, August/September, 2004)

  

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Review: Thinking in Complexity: The Computational Dynamics of Matter, Mind, and Mankind

User Review  - Gerry - Goodreads

Absolutely engaging and eye-opening. Read full review

Contents

Introduction From Linear to Nonlinear Thinking
1
Complex Systems and the Evolution of Matter
17
21 Aristotles Cosmos and the Logos of Heraclitus
18
22 Newtons and Einsteins Universe and the Demon of Laplace
30
23 Hamiltonian Systems and the Chaos of Heaven and the Quantum World
44
24 Conservative and Dissipative Systems and the Emergence of Order
54
25 Complex Systems of the Nano World and SelfConstructing Materials
71
26 Time Series Analysis Fractals and Multifractals
77
56 Cellular Automata Chaos and Randomness
217
Complex Systems and the Evolution of Artificial Life and Intelligence
227
62 Neural Networks and Synergetic Computers
243
63 Cellular Neural Networks and Analogic Neural Computers
261
64 Universal Cellular Neural Networks and Dynamic Complexity
273
65 Organic Computing Neurobionics and Embodied Robotics
285
66 Embodied Artificial Intelligence and Artificial Life
300
Complex Systems and the Evolution of Economies
311

Complex Systems and the Evolution of Life
87
32 Boltzmanns Thermodynamics and the Evolution of Life
92
33 Complex Systems and the Evolution of Organisms
98
34 Complex Systems and the Ecology of Populations
112
35 Complex Systems and Power Laws of Life
117
Complex Systems and the Evolution of MindBrain
123
41 From Platos Soul to Lamettries LHomme machine
124
42 Complex Systems and Neural Networks
132
43 Brain and the Emergence of Consciousness
155
44 Intentionality and the Crocodile in the Brain
165
45 Complexity and the Embodied Mind
174
Complex Systems and the Evolution of Computability
179
52 Computability and Algorithmic Complexity
183
53 Information Probability and 1fComplexity
194
54 Stochastic Processes Probabilistic Attractors and Probabilistic Complexity
200
55 Quantum Information Quantum Computers and Quantum Complexity
206
72 Complex Economic Systems Chaos and Randomness
321
73 Bacheliers Financial Theory and Market Equilibrium
338
74 Complex Financial Markets Turbulence and Power Laws
345
75 Perspectives on Econophysics
362
Complex Systems and the Evolution of Human Culture and Society
366
81 From Aristotles Polis to Hobbes Leviathan
368
82 Complex Social and Cultural Systems
373
83 Complex Communication Networks Information Retrieval and Personalized Information Systems
390
84 Complex Mobile Networks Ubiquitous Computing and Adaptive ELearning
405
Epilogue on Future Science and Ethics
417
92 Complexity Science and Technology
424
93 Complexity Responsibility and Freedom
430
References
440
Subject Index
469
Name Index
478
Copyright

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About the author (2007)

Mainzer is a Professor of Philosophy and Science Theory at the University of Augsburg, Germany.

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