Complexity Science: An Introduction
Language: English
Published by World Scientific Publishing Co Pte Ltd, SG, 2019
- Hardcover
- New

Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
This book on complexity science comprises a collection of chapters on methods and principles from a wide variety of disciplinary fields - from physics and chemistry to biology and the social sciences.In this two-part volume, the first part is a collection of chapters introducing different aspects in a coherent fashion, and providing a common basis and the founding principles of the different complexity science approaches; the next provides deeper discussions of the different methods of use in complexity science, with interesting illustrative applications.The fundamental topics deal with self-organization, pattern formation, forecasting uncertainties, synchronization and revolutionary change, self-adapting and self-correcting systems, and complex networks. Examples are taken from biology, chemistry, engineering, epidemiology, robotics, economics, sociology, and neurology.
Seller Inventory # LU-9789813239593
- Title
- Complexity Science: An Introduction
- Author
- Mark A Peletier
- Publisher
- World Scientific Publishing Co Pte Ltd, SG
- Publication year
- 2019
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 981323959X
- ISBN 13
- 9789813239593
This book on complexity science comprises a collection of chapters on methods and principles from a wide variety of disciplinary fields -- from physics and chemistry to biology and the social sciences.
In this two-part volume, the first part is a collection of chapters introducing different aspects in a coherent fashion, and providing a common basis and the founding principles of the different complexity science approaches; the next provides deeper discussions of the different methods of use in complexity science, with interesting illustrative applications.
The fundamental topics deal with self-organization, pattern formation, forecasting uncertainties, synchronization and revolutionary change, self-adapting and self-correcting systems, and complex networks. Examples are taken from biology, chemistry, engineering, epidemiology, robotics, economics, sociology, and neurology.
"Synopsis" may belong to another edition of this title.
Rarewaves.com USA
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