<p><p><i>From Hamiltonian Chaos to Complex Systems: A Nonlinear Physics Approach</i> collects contributions on recent developments in non-linear dynamics and statistical physics with an emphasis on complex systems. This book provides a wide range of state-of-the-art research in these fields. The uni
Interdisciplinary Approaches to Nonlinear Complex Systems
โ Scribed by H. Haken, A. Mikhailov (auth.), Professor Dr. Dr. h. c. Hermann Haken, Professor A. Mikhailov (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 1993
- Tongue
- English
- Leaves
- 243
- Series
- Springer Series in Synergetics 62
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Nonlinear dynamics is now recognized as playing a crucial role in a wide variety of disciplines. But what is only just beginning is the important process of cross fertilization and transfer of knowledge and expertise from one area to another. This book is intended to promote this process which will undoubtedly contribute greatly to furthering our understanding of complex systems. Contributions are provided by leading experts from the areas of sociology, cognitive science, chemistry, physiology, ecology, economics, neural networks and physics.
โฆ Table of Contents
Front Matter....Pages I-VIII
Introduction....Pages 1-4
Synergetics as a Strategy to Cope with Complex Systems....Pages 5-11
Evolution, Creativity and Intelligence in Complex Systems....Pages 12-31
Philosophical Foundations of Nonlinear Complex Systems....Pages 32-43
Diversity and Collective Action....Pages 44-64
On the Application of Synergetics to Social Systems....Pages 65-76
Emergent Behavior in Insect Societies: Global Oscillations, Chaos and Computation....Pages 77-88
Collective Dynamics in Models of Communicating Populations....Pages 89-108
From Social Engineering to Synergetics....Pages 109-126
Social Order....Pages 127-137
The Significance of Nonlinear Phenomena for the Investigation of Cognitive Systems....Pages 138-160
Pattern Formation in Complex Cognitive Processes....Pages 161-175
Modelling Pattern Formation in Ecological Systems....Pages 176-187
Characterization of Temporal and Spatio-temporal Chaos....Pages 188-200
Attractor-Ruled Dynamics in Neurobiology: Does it Exist? Can it be Measured?....Pages 201-214
Synergetics of Blood Movement Through Microvascular Networks: Causes and Consequences of Nonlinear Pressure-Flow Relationships....Pages 215-235
Back Matter....Pages 237-239
โฆ Subjects
Statistical Physics, Dynamical Systems and Complexity;Economics general;Theoretical and Computational Chemistry;Statistics for Life Sciences, Medicine, Health Sciences;Computer Science, general;Mathematical and Computational Biology
๐ SIMILAR VOLUMES
<p><p>This book collects recent developments in nonlinear and complex systems. It provides up-to-date theoretic developments and new techniques based on a nonlinear dynamical systems approach that can be used to model and understand complex behavior in nonlinear dynamical systems. It covers symmetry
<P>The present book outlines a conceptual framework for modelling and forecasting the dynamics of both growth-limited cities and megacities bringing together experts from several disciplines. The interdisciplinary point of view is particularly stressed. The contributions presented reflect the variou
The present book outlines a conceptual framework for modelling and forecasting the dynamics of both growth-limited cities and megacities bringing together experts from several disciplines. The interdisciplinary point of view is particularly stressed. The contributions presented reflect the various i
Michael Whitenton offers a fresh perspective on the characterization of Nicodemus, focusing on the benefit of Hellenistic rhetoric and the cognitive sciences for understanding audience construals of characters in ancient narratives. Whitenton builds an interdisciplinary approach to ancient character
<div><p>https://www.springer.com/gp/book/9783030709815</p><p>This interdisciplinary book argues that the economy has an underlying non-linear structure and that business cycles are endogenous, which allows a greater explanatory power with respect to the traditional assumption that dynamics are stoch