About this book series
Springer Complexity is an interdisciplinary program publishing the best research and academic-level teaching on both fundamental and applied aspects of complex systems—cutting across all traditional disciplines of the natural and life sciences, engineering, economics, medicine, neuroscience, social and computer science.
Complex Systems are systems that comprise many interacting parts with the ability to generate a new quality of macroscopic collective behavior the manifestations of which are the spontaneous formation of distinctive temporal, spatial or functional structures. Models of such systems can be successfully mapped onto quite diverse “real-life” situations like the climate, the coherent emission of light from lasers, chemical reaction-diffusion systems, biological cellular networks, the dynamics of stock markets and of the internet, earthquake statistics and prediction, freeway traffic, the human brain, or the formation of opinions in social systems, to name just some of the popular applications.
Although their scope and methodologies overlap somewhat, one can distinguish the following main concepts and tools: self-organization, nonlinear dynamics, synergetics, turbulence, dynamical systems, catastrophes, instabilities, stochastic processes, chaos, graphs and networks, cellular automata, adaptive systems, genetic algorithms and computational intelligence.
The three major book publication platforms of the Springer Complexity program are the
monograph series “Understanding Complex Systems” focusing on the various applications of
complexity, the “Springer Series in Synergetics”, which is devoted to the quantitative theoretical and methodological foundations, and the “Springer Briefs in Complexity” which are
concise and topical working reports, case studies, surveys, essays and lecture notes of relevance to the field. In addition to the books in these two core series, the program also incorporates individual titles ranging from textbooks to major reference works.
Indexed by SCOPUS, INSPEC, zbMATH, SCImago.
- Electronic ISSN
- 1860-0840
- Print ISSN
- 1860-0832
- Series Editor
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- Henry D. I. Abarbanel,
- Dan Braha,
- Péter Érdi,
- Karl J. Friston,
- Sten Grillner,
- Hermann Haken,
- Viktor Jirsa,
- Janusz Kacprzyk,
- Kunihiko Kaneko,
- Markus Kirkilionis,
- Jürgen Kurths,
- Ronaldo Menezes,
- Andrzej Nowak,
- Hassan Qudrat-Ullah,
- Linda Reichl,
- Peter Schuster,
- Frank Schweitzer,
- Didier Sornette,
- Stefan Thurner
Book titles in this series
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Artificial Intelligence, Learning and Computation in Economics and Finance
- Editors:
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- Ragupathy Venkatachalam
- Copyright: 2023
Available Renditions
- Hard cover
- Soft cover
- eBook
-
Information Theory for Complex Systems
An Information Perspective on Complexity in Dynamical Systems and Statistical Mechanics
- Authors:
-
- Kristian Lindgren
- Copyright: 2024
Available Renditions
- Hard cover
- eBook
-
Lectures on Nonlinear Dynamics
- Editors:
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- José Roberto Castilho Piqueira
- Carlos Eduardo Nigro Mazzilli
- Celso Pupo Pesce
- Guilherme Rosa Franzini
- Copyright: 2024
Available Renditions
- Hard cover
- eBook
-
Advanced Technologies and the Management of Disruptive Supply Chains
The Post-COVID Era
- Editors:
-
- Hassan Qudrat-Ullah
- Syed Imran Ali
- Copyright: 2023
Available Renditions
- Hard cover
- eBook
Abstracted and indexed in
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- INSPEC
- Norwegian Register for Scientific Journals and Series
- SCImago
- SCOPUS
- zbMATH