Distributed active systems
Author(s)
Bibliographic Information
Distributed active systems
（Springer series in synergetics, v. 51 . Foundations of synergetics ; 1）
Springer-Verlag, 1990
- : gw
- : us
- : pbk
Available at / 56 libraries
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Nara Women's University Academic Information Center
F001.533||9090203048,
: pbkF003.7||12020200153 -
Hokkaido University, Faculty and Graduate School of Engineering図書
: gwdc19:003.7/m5893570271433
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
DC19:003/M5892070173044
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Note
Includes bibliographical references and index
"Softcover reprint of the hardcover 2nd edtion 1990" --t.p.verso of pbk
Description and Table of Contents
- Volume
-
: gw ISBN 9783540527756
Description
This textbook presents an introduction to the mathematical theory of co-operative behaviour in active systems of various origin, both natural and artificial. The volume is devoted to the properties of regular self-organized patterns in distributed active systems. An analysis of pattern formation and self-supported wave propagation in active media is followed by a description of properties of neural networks and their possible applications in the field of distributed analog information processing. The volume ends with a discussion of reproductive networks and evolutionary systems. Attention is focused on basic models which might appear in a wide range of applications. As illustrations, the author uses simplified examples borrowed from a variety of disciplines ranging from chemical and biological physics to market economies.
- Volume
-
: pbk ISBN 9783642785580
Description
This book gives an introduction to the mathematical theory of cooperative behavior in active systems of various origins, both natural and artificial. It is based on a lecture course in synergetics which I held for almost ten years at the University of Moscow. The first volume deals mainly with the problems of pattern fonnation and the properties of self-organized regular patterns in distributed active systems. It also contains a discussion of distributed analog information processing which is based on the cooperative dynamics of active systems. The second volume is devoted to the stochastic aspects of self-organization and the properties of self-established chaos. I have tried to avoid delving into particular applications. The primary intention is to present general mathematical models that describe the principal kinds of coopera tive behavior in distributed active systems. Simple examples, ranging from chemical physics to economics, serve only as illustrations of the typical context in which a particular model can apply. The manner of exposition is more in the tradition of theoretical physics than of in mathematics: Elaborate fonnal proofs and rigorous estimates are often replaced the text by arguments based on an intuitive understanding of the relevant models. Because of the interdisciplinary nature of this book, its readers might well come from very diverse fields of endeavor. It was therefore desirable to minimize the re quired preliminary knowledge. Generally, a standard university course in differential calculus and linear algebra is sufficient.
Table of Contents
1. Introduction.- 1.1 Basic Types of Distributed Active Systems.- 1.2 Engineering and Control of Active Systems.- 2. Bistable Media.- 2.1 One-Component Models of Bistable Media.- 2.2 Trigger Waves.- 2.3 General Properties of Patterns in One-Component Bistable Media.- 2.4 Waves of Transition from an Unstable State.- 3. Excitable Media.- 3.1 Travelling Pulses.- 3.2 Cellular Automaton Models.- 3.3 Spiral Waves.- 3.4 Front Kinematics.- 3.5 Resonance, Drift, and Meandering of Spiral Waves.- 3.6 Wave Patterns in Three Dimensions.- 4. Oscillatory Media.- 4.1 Phase Dynamics.- 4.2 Plane Waves.- 4.3 Pacemakers.- 4.4 Spiral Waves.- 5. Active Media with Long-Range Inhibition.- 5.1 Integral Negative Feedback.- 5.2 Spike Patterns.- 5.3 Broad Strata.- 6. Neural Networks.- 6.1 Automata, Spins, and Neurons.- 6.2 Associative Memories.- 6.3 Complex Combinatorial Optimization.- 6.4 The Perceptron.- 6.5 Back Propagation of Errors.- 6.6 The Boltzmann Machine.- 6.7 Storage of Temporal Sequences.- 6.8 Networks with Mediators.- 7. Reproductive Networks.- 7.1 Competition and Cooperation of Reproductive Agents.- 7.2 Selection.- 7.3 Coexistence and Multistability.- 7.4 Waves of Reproduction.- 7.5 Evolution and Information Processing.- References.
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