Evolution Of Dynamical Structures In Complex Systems

Evolution of Dynamical Structures in Complex Systems

"Evolution of Dynamical Structures in Complex Systems" is dedicated to the founder of synergetics, Hermann Haken, on the occasion of his 65th birthday. This volume is an attempt to gather together and review the new results and de velopments achieved by researchers from various fields during the last few years. The contents bear witness to the great success in the development of general approaches to synergetic systems as well as remarkable progress in the more tra ditional fields of synergetics such as lasers and nonlinear optics, hydrodynamics, condensed matter physics, biology, and sociology. Since their inception, the concepts of synergetics and rigorous mathematical theories have been extended to other scientific disciplines such as medicine, artifi cial intelligence and synergetic computers, and psychology. Here too, these ideas have yielded new insights, raised unexpected questions and produced innovations in both theoretical and experimental projects. The conception of self-organization, the central theme of Hermann Haken' s scientific work, has stimulated epistemo logical studies that draw relations between synergetics and the German romantic "Naturphilosophie". It is fascinating to observe how these intuitive notions of self-organization, etc., have now evolved into a precise and holistic scientific comprehension of synergetic systems. We express our deep gratitude to Dr. Angela Lahee from Springer-Verlag for her valuable help during the preparation of this book. Stuttgart R. Frjedrjch March 1992 .4.. Wunder}jn Contents Part I General Approaches On the Principles of Synergetics By A. Wunderlin ...................................... 3 Elements of a Synergetics of Evolutionary Processes By W. Ebeling ......................... . . . . . . . . . . .. . .42 .

Evolution of Dynamical Structures in Complex Systems

Stochastic Dynamics Of Complex Systems: From Glasses To Evolution

Dynamical evolution over long time scales is a prominent feature of all the systems we intuitively think of as complex — for example, ecosystems, the brain or the economy. In physics, the term ageing is used for this type of slow change, occurring over time scales much longer than the patience, or indeed the lifetime, of the observer. The main focus of this book is on the stochastic processes which cause ageing, and the surprising fact that the ageing dynamics of systems which are very different at the microscopic level can be treated in similar ways.The first part of this book provides the necessary mathematical and computational tools and the second part describes the intuition needed to deal with these systems. Some of the first few chapters have been covered in several other books, but the emphasis and selection of the topics reflect both the authors' interests and the overall theme of the book. The second part contains an introduction to the scientific literature and deals in some detail with the description of complex phenomena of a physical and biological nature, for example, disordered magnetic materials, superconductors and glasses, models of co-evolution in ecosystems and even of ant behaviour. These heterogeneous topics are all dealt with in detail using similar analytical techniques.This book emphasizes the unity of complex dynamics and provides the tools needed to treat a large number of complex systems of current interest. The ideas and the approach to complex dynamics it presents have not appeared in book form until now./a