Foundations of Complex-system Theories
In Economics, Evolutionary Biology, and Statistical Physics
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28 341 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number New ed
- Publisher Cambridge University Press
- Date of Publication 28 August 1999
- ISBN 9780521778268
- Binding Paperback
- No. of pages420 pages
- Size 246x189x22 mm
- Weight 750 g
- Language English 0
Categories
Short description:
Analyzes approaches to the study of complexity in the physical, biological, and social sciences.
MoreLong description:
Complex behaviour can occur in any system made up of large numbers of interacting constituents, be they atoms in a solid, cells in a living organism, or consumers in a national economy. Analysis of this behaviour often involves making important assumptions and approximations, the exact nature of which vary from subject to subject. Foundations of Complex-system Theories begins with a description of the general features of complexity and then examines a range of important concepts, such as theories of composite systems, collective phenomena, and stochastic processes. Each topic is discussed with reference to the fields of statistical physics, evolutionary biology, and economics, thereby highlighting recurrent themes in the study of complex systems. This detailed yet nontechnical book will appeal to anyone who wants to know more about complex systems and their behaviour. It will also be of great interest to specialists studying complexity in the physical, biological, and social sciences.
'The book is comprehensive and interesting to read. ... this book will certainly be useful for anyone interested in understanding complex systems.' Physics World
Table of Contents:
1. Introduction; Part I. Equilibrium: 2. Theories of composite systems; 3. Individuals: systems and constituents; 4. Situated individuals and the situation; 5. Interacting individuals and collective phenomena; 6. Macro individuals and emergent properties; Part II. Dynamics: 7. The temporality of dynamical systems; 8. The complexity of deterministic dynamics; 9. Stochastic processes; 10. Directionality, history, expectation; 11. Epilogue.
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