Thinking in Complexity: The Computational Dynamics of Matter, Mind, and MankindThe 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) |
From inside the book
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... distributions. Stochastic processes with probabilistic attractors lead to abrupt and discontinuous events (the “Noah effect”) or long-term trends (the “Joseph effect”). Time series analysis permits the detection of typical patterns of ...
... distributed in our technical equipment and environment, but also in our body and brain. Robots are embodied. Nanotechnology with new materials, as well as articial life and artificial intelligence are dramatic challenges to the future ...
... distributions. The second chapter analyzes Complex Systems and the Evolution of Matter. Since the presocratics it ... distribution. An application of modern technology is pattern formation in the materials sciences. Complex systems of ...
... distributed with different probabilities which are characterized by different probability distribution functions. A well-known example is the bell-shaped Gaussian curve of the normal distribution. This is, however, only one example of a ...
... distribution of price changes and mild randomness. However, complex and global markets are actually turbulent, like the weather, following typical power laws of distribution. Stochastic processes with probabilistic attractors (see Sect ...
Contents
1 | |
10 | |
17 | |
Complex Systems and the Evolution of Life | 87 |
Complex Systems and the Evolution of MindBrain | 123 |
Complex Systems and the Evolution of Computability | 179 |
Complex Systems and the Evolution of Economies | 311 |
Complex Systems and the Evolution of Human Culture and Society 367 | 366 |
Epilogue on Future Science and Ethics | 417 |
References 441 | 440 |
Subject Index | 469 |
Name Index 479 | 478 |