Synergetic Computers and Cognition A Top-Down Approach to Neural
This book presents a novel approach to neural nets and thus offers a genuine alternative to the hitherto known neuro-computers. This approach is based on the author's discovery of the profound analogy between pattern recognition and pattern formation in o
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Springer-Verlag Berlin Heidelberg GmbH
Springer Series in Synergetics Series Editor Hermann Haken Institut fiir Theoretische Physik und Synergetik der Universitat Stuttgart 70550 Stuttgart, Germany and Center for Complex Systems Florida Atlantic University Boca Raton, FL 33431, USA
Members of the Editorial Board Ake Andersson, Stockholm, Sweden Gerhard Ertl, Berlin, Germany Bernold Fiedler, Berlin, Germany Yoshiki Kuramoto, Kyoto, Japan Jiirgen Kurths, Potsdam, Germany Luigi Lugiato, Milan, Italy Jiirgen Parisi, Oldenburg, Germany Peter Schuster, Wien, Austria Frank Schweitzer, Ziirich, Switzerland 14.1.04 Didier Sornette, Los Angeles, CA, USA, and Nice, France Manuel G. Velarde, Madrid, Spain SSSyn - An Interdisciplinary Series on Complex Systems The success of the Springer Series in Synergetics has been made possible by the contributions of outstanding authors who presented their quite often pioneering results to the science community well beyond the borders of a special discipline. Indeed, interdisciplinarity is one of the main features of this series. But interdisciplinarity is not enough: The main goal is the search for common features of self-organizing systems in a great variety of seemingly quite different systems, or, still more precisely speaking, the search for general principles underlying the spontaneous formation of spatial, temporal or functional structures. The topics treated may be as diverse as lasers and fluids in physics, pattern formation in chemistry, morphogenesis in biology, brain functions in neurology or self-organization in a city. As is witnessed by several volumes, great attention is being paid to the pivotal interplay between deterministic and stochastic processes, as well as to the dialogue between theoreticians and experimentalists. All this has contributed to a remarkable cross-fertilization between disciplines and to a deeper understanding of complex systems. The timeliness and potential of such an approach are also mirrored - among other indicators - by numerous interdisciplinary workshops and conferences all over the world.
Hermann Haken
Synergetic Computers and Cognition A Top-Down Approach to Neural Nets Second Enlarged Edition With 180 Figures
Springer
Professor Dr. Dr. h.c.mult. Hermann Haken Universitat Stuttgart Institut fiir Theoretische Physik und Synergetik Pfaffenwaldring 57/IV 70550 Stuttgart, Germany
The first edition appeared as Vol. so in the series. ISSN 0172-7389 ISBN 978-3-642-07573-5 ISBN 978-3-662-10182-7 (eBook) DOI 10.1007/978-3-662-10182-7 Library of Congress Control Number: 2004103361 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, 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 fo
