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465 Pages·2004·12.52 MB·English
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Klaus Mainzer Thinking in Complexity Springer-Verlag Berlin Heidelberg GmbH ONLINE LIBRARY Physics and Astronomy http://www.springer.de Thinking M~~~~ in Complexity The Computational Dynamics of Matter, Mind, and Mankind Fourth Revised and Enlarged Edition With 162 Figures Including 4 Color Figures t Springer Professor Dr. Klaus Mainzer Lehrstuhl fiir Philosophie und Wissenschaftstheorie Institut ftir Interdisziplinăre Informatik Universităt Augsburg Universitătsstrasse 10 86135 Augsburg, Germany ISBN 978-3-662-05366-9 Library of Congress Cataloging-in-Publication Data: Mainzer, Klaus. Thinking in complexity : the computational dynamics of matter, mind, and mankind I Klaus Mainzer. - 4th rev. and enl. ed. p. cm. Includes bibliographical references and index. ISBN 978-3-662-05366-9 ISBN 978-3-662-05364-5 (eBook) DOI 10.1007/978-3-662-05364-5 1. Science-Philosophy- History. 2. Social sciences. 3. Computer science. 4. Complexity (Philosophy) 5. Nonlinear theories.1. Title. Q175.M257 2003 501-dc21 2003054233 This work is subject to copyright. AH rights are reserved, whether the whole or part of the material is concemed, specifically the rights of translation, reprin ting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer-Verlag Berlin Heidelberg GmbH. Violations are liable for prosecution under the German Copyright Law. Springer-Verlag Berlin Heidelberg 1994, 1996, 1997,2004 Originally published by Springer-Verlag Berlin Heidelberg New York in 2004 Softcover reprint of the hardcover 4th edition 2004 The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Cover concept: Erich Kirchner, Heidelberg Typesetting: Data conversion by Kurt Mattes, Heidelberg SPIN: 10904404 55/3141/ba -5 43210 - Printed on acid-free paper Das Ganze ist aber nur das durch seine Entwicklung sich vollendende Wesen. * G. W. F. Hegel: Phanomenologie des Geistes (1807) * The whole, however, is merely the essential nature reaching its completeness through the process of its own development. G. W F. Hegel: The Phenomenology of Mind (1807) Preface to the Fourth Edition 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. Robots are embodied. Nanotechnology with new materials, as well as articial life and artificial intelligence are dramatic challenges to the future of com plexity science. In the age of globalization, humankind is growing along with worldwide computational networks of information and communication. But we are also endangered by the nonequilibrium phase transitions of techni cal, economic, and social dynamics. All these new topics are considered in supplemented parts and chapters of this enlarged and revised fourth edition. Thus, Thinking in Complexity has the new subtitle The Computational Dynamics of Matter, Mind, and Mankind. We can actually define precise degrees of algorithmic and dynamic complexity. Basic theorems of compu tational dynamics have been proven recently. But, because of chaos and ran domness, understanding computational dynamics does not mean predicting VIII Preface to the Fourth Edition and determining the future in all its details. While we can gain experience with nonlinear dynamics through computer experiments, computer experi ments cannot replace reality. As life is complex and random, we have to live it in order to experience it. From a philosophical point of view, this book out lines new standards of epistemology and ethical behavior, which the complex problems of nature, mind, economy, and society demand. This new edition has been inspired by several fruitful collaborations. In 1997, the book was translated into Japanese, and I was invited to universi ties in Tokyo, Osaka, Nagasaki, and Fukui. In 1999, the Chinese transla tion brought invitations to universities in Beijing and Shanghai. During the world exposition 2000 (Expo) in Hannover, I was invited by the German Sci ence Organizations to chair the topics "Understanding Complex Systems" and "Global Networking" during the conference "Science and Technology Thinking the Future". During the academic year 2002/2003, I was a member of the international research group on "General Principles of Information Theory and Combinatorics" at the Center of Interdisciplinary Research in Bielefeld, Germany. The 7th IEEE International Workshop on "Cellular Neural Networks and Their Applications" (Frankfurt 2002) opened new insights into recent developments in analogic neural computers and chip technology. As a member of the editorial board of the International Jour nal of Bifurcation and Chaos in Applied Sciences and Engineering, I have the opportunity to get an interdisciplinary overview of worldwide explorations in the sciences of complexity. I especially want to thank the editor of our journal, Leon o. Chua (Department of Electrical Engineering & Computer Sciences, University of California, Berkeley), for his encouraging advice and kind invitation to Berkeley. Thanks also to Stephen Wolfram and Leon Chua for the permission to reproduce some figures of their books in Chaps. 5 and 6. Last, but not least, I would like to thank Wolf Beiglbock (Springer-Verlag) for initiating and supporting this new edition. Augsburg, March 2003 Klaus Mainzer Preface to the Third Edition The second edition of "Thinking in Complexity", like the first edition, was also sold out in less than one year. Meanwhile, Japanese and Chinese trans lations of the second editon have been published. Once more I have taken the opportunity provided by a new edition to revise and extend the text. A new Sect. 2.5 "Complex Systems and the Self-Construction of Mate rials" is included, in order to analyze the role of complex systems in the dra matic success of supramolecular chemistry, nanotechnology, and the tech nology of smart ("intelligent") materials. These topics lie at the boundary between materials science and life science. In recent years, life science and computer science have been growing together in a common field of research called "artificial life" . A further new Sect. 5.5 "From Artificial Intelligence to Artificial Life" has been added, in which the role of complex systems in the field of artificial life is discussed. I also use the opportunity of the new edition to make some remarks about the relationship between the Santa Fe approach to complex systems and the methods of synergetics and order parameters which are key concepts in this book. Research into complex systems continues world-wide. I have to thank the readers who have written friendly and inspiring letters from all over the world. Some months ago, a German Society of Complex Systems and Non linear Dynamics was founded. The honorable German Academy of Natural Scientists Leopoldina invited me to give a lecture on complexity for which I express my gratitude. Last but not least, I would again like to thank Wolf Beiglbock of Springer-Verlag for initiating and supporting this new edition. Augsburg, November 1996 Klaus Mainzer Preface to the Second Edition The first edition of "Thinking in Complexity" was sold out in less than one year. Obviously, complexity and nonlinearity are "hot" topics of interdisci plinary interest in the natural and social sciences. The situation is well sum marized by a quotation ofIan Stewart (Mathematics Institute, University of Warwick) who wrote a nice review of my book under the title "Emerging new science" [Nature 374, 834 (1995)]: "Nonlinearity is not a universal answer, but it is often a better way of thinking about the problem". I have taken the opportunity provided by a second edition to revise and extend the text. In Sect. 2.4 a supplement is included on the recent impor tance of conservative self-organization in supramolecular chemistry and the material sciences. Some references are given to the recent discussion of self organization in alternative cosmologies. Some remarks are made about new results on dissipative self-organization in living cells (Sect. 3.3). The success and limitations of adaptive neural prostheses in neurotechnology are ana lyzed in more detail (Sect. 5.4). The last chapter is extended into an "Epilogue on Future, Science, and Ethics": After a short introduction to traditional forecasting methods, their limitations and new procedures are discussed un der the constraints of nonlinearity and complexity in the natural and social sciences. In particular, the possibilities of predicting and modeling scientific and technological growth are extremely interesting for the contemporary debates on human future and ethics. General methods of nonlinear complex systems must be developed in cooperation with the natural and social sciences under their particular ob servational, experimental, and theoretical conditions. Thus, I want to thank some colleagues for their helpful advice: Rolf Eckmiller (Dept. ofNeuroin formatics, University of Bonn), Hans-Jorg Fahr and Wolf Priester (Dept. of Astrophysics and Max-Planck Institute for Radioastronomy, Bonn), Her mann Haken (Institute of Theoretical Physics and Synergetics, Stuttgart), Benno Hess (Max-Planck Institute for Medical Research, Heidelberg), S. P. Kurdyumov (Keldysh Institute of Applied Mathematics, Moscow), Renate Mayntz (Max-Planck Institute for Social Sciences, Cologne), Achim Muller XII Preface to the Second Edition (Dept. of Inorganic Chemistry, University of Bielefeld). Last but not least, I would like to thank Wolf Beiglbock (Springer-Verlag) for initiating and supporting this new edition. Augsburg, November 1995 Klaus Mainzer

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