Abstract
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.
| Original language | English |
|---|---|
| Publisher | World Scientific |
| Number of pages | 409 |
| ISBN (Electronic) | 9789813239609 |
| ISBN (Print) | 9789813239593 |
| DOIs | |
| Publication status | Published - 20 Mar 2019 |
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Complexity science : an introduction. / Peletier, Mark A.; van Santen, Rutger A.; Steur, Erik.
World Scientific, 2019. 409 p.Research output: Book/Report › Book › Academic
TY - BOOK
T1 - Complexity science
T2 - an introduction
AU - Peletier, Mark A.
AU - van Santen, Rutger A.
AU - Steur, Erik
PY - 2019/3/20
Y1 - 2019/3/20
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85068117981&partnerID=8YFLogxK
U2 - 10.1142/10973
DO - 10.1142/10973
M3 - Book
AN - SCOPUS:85068117981
SN - 9789813239593
BT - Complexity science
PB - World Scientific
ER -