Natural Complexity: A Modeling Handbook

Description

This book provides a short, hands-on introduction to the science of complexity using simple computational models of natural complex systems--with models and exercises drawn from physics, chemistry, geology, and biology. By working through the models and engaging in additional computational explorations suggested at the end of each chapter, readers

Paul Charbonneau is professor of physics at the University of Montreal.

"This book is a clear introduction to experimentation with complex systems that will appeal to multiple audiences. . . . It will serve as an example of pedagogical clarity and skill for anyone responsible for teaching the physical sciences."---H. Van Dyke Parunak, Computing Reviews "There is a certain enthusiasm distilled by the author all through the book, transporting the reader on a journey of discovery of a chosen set of complex systems, from where diverse insights into complexity science can be grasped. . . . Natural Complexity constitutes an excellent introduction to some perspectives about complexity science that might be appealing to a broad range of readers."---Miguel A. F. Sanjuan, Contemporary Physics "[Clear], easy to read, and presents simple computational code to support and help explain each example/model."---Juan A. Bonachela, The Quarterly Review of Biology