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Complex and Adaptive Dynamical Systems - A Primer (Paperback, 4th ed. 2015)
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Complex and Adaptive Dynamical Systems - A Primer (Paperback, 4th ed. 2015)
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This primer offers readers an introduction to the central concepts
that form our modern understanding of complex and emergent
behavior, together with detailed coverage of accompanying
mathematical methods. All calculations are presented step by step
and are easy to follow. This new fourth edition has been fully
reorganized and includes new chapters, figures and exercises. The
core aspects of modern complex system sciences are presented in the
first chapters, covering network theory, dynamical systems,
bifurcation and catastrophe theory, chaos and adaptive processes,
together with the principle of self-organization in
reaction-diffusion systems and social animals. Modern information
theoretical principles are treated in further chapters, together
with the concept of self-organized criticality, gene regulation
networks, hypercycles and coevolutionary avalanches,
synchronization phenomena, absorbing phase transitions and the
cognitive system approach to the brain. Technical course
prerequisites are the standard mathematical tools for an advanced
undergraduate course in the natural sciences or engineering. Each
chapter includes exercises and suggestions for further reading, and
the solutions to all exercises are provided in the last chapter.
From the reviews of previous editions: This is a very interesting
introductory book written for a broad audience of graduate students
in natural sciences and engineering. It can be equally well used
both for teac hing and self-education. Very well structured and
every topic is illustrated with simple and motivating examples.
This is a true guidebook to the world of complex nonlinear
phenomena. (Ilya Pavlyukevich, Zentralblatt MATH, Vol. 1146, 2008)
Claudius Gros' Complex and Adaptive Dynamical Systems: A Primer is
a welcome addition to the literature. A particular strength of the
book is its emphasis on analytical techniques for studying complex
systems. (David P. Feldman, Physics Today, July, 2009).
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