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

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Springer Science & Business Media, Sep 9, 2003 - Science - 456 pages
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The first edition of this book, published in 1994, began with the statement that the new science of complexity would characterize the scientific develop ment of the 21st century. In the first decade of this century, this prediction has been confirmed by overwhelming new empirical results and theoretical insights the of physical and biological sciences, cognitive and computer sci ences, and social and economic sciences. Complexity and nonlinearity are still prominent features in the evolution of matter, mind, and human society. Thus, the science of complexity still aims at explanations for the emergence of order in nature and mind and in the economy and society by common principles. But a new engineering view has focused the exploration of complexity. On the one hand, we need new computational instruments to analyze com plex data and recognize future trends. On the other hand, the principles of complex dynamics are increasingly becoming the blueprints of gene, bio, and computer technology. Life and computer sciences are growing into a new kind of complex engineering, changing the basic conditions of human life and society. Nonlinear dynamics are implemented in nonlinear computer chips of high speed and miniaturized size, which are not only distributed in our technical equipment and environment, but also in our body and brain.
 

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Contents

From Linear to Nonlinear Thinking
1
2 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
31
23 Hamiltonian Systems and the Chaos of Heaven and the Quantum World
47
24 Conservative and Dissipative Systems and the Emergence of Order
59
25 Complex Systems of the Nano World and SelfConstructing Materials
77
26 Complex Data Mining and Time Series Analysis
85
54 Cellular Automata Chaos and Randomness
229
6 Complex Systems and the Evolution of Artificial Life and Intelligence
241
62 Cellular Neural Networks and Analogic Neural Computers
261
63 Universal Cellular Neural Networks and Dynamic Complexity
274
64 Neurobionics and Robotics
287
65 From Artificial Intelligence to Artificial Life
302
7 Complex Systems and the Evolution of Human Society
313
71 From Aristotles Polis to Hobbes Leviathan
314

3 Complex Systems and the Evolution of Life
93
32 Boltzmanns Thermodynamics and the Evolution of Life
99
33 Complex Systems and the Evolution of Organisms
105
34 Complex Systems and the Ecology of Populations
121
4 Complex Systems and the Evolution of MindBrain
129
41 From Platos Soul to Lamettries LHomme machine
130
42 Complex Systems and Neural Networks
139
43 Brain and the Emergence of Consciousness
165
44 Intentionality and the Crocodile in the Brain
176
5 Complex Systems and the Evolution of Computability
187
51 Leibniz and Mathesis Universalis
188
52 Computability and Algorithmic Complexity
191
53 From Information to Knowledge Processing
204
72 Smiths Economics and Market Equilibrium
320
73 Complex Economic Systems Chaos and Randomness
330
74 Complex Social and Cultural Systems
349
75 Complex Communication Networks and Information Retrieval
368
76 Complex Mobile Networks and Ubiquitous Computing
378
8 Epilogue on Future Science and Ethics
387
82 Complexity Science and Technology
396
83 Complexity Responsibility and Freedom
402
References
413
Subject Index
435
Name Index
453
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About the author (2003)

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

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