Complex Systems

by David G. Green, Terry R.J. Bossomaier, Terry R. J. Bossomaier

This book explores the exciting new field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, nonlinear dynamics, artificial life, and self organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems, and ecosystems. Contributors examine some of the properties that best characterize complex systems, including algorithmic richness, nonlinearity, and abundant interactions between components. In this way the book draws themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities among phenomena that have formerly been treated as completely distinct. Researchers in a wide array of fields, including ecology, neuroscience, computer science, and mathematics, will find this volume to be a fascinating collection of ideas.

420 pages, Paperback

First published July 6, 2000

About the author

Librarian Note: There is more than one author in the GoodReads database with this name. See this thread for more information.

David Green is Professor of Information Technology at Monash University. His main research interest is complexity and all its implications.

* Complex systems
* Network theory
* Complexity in landscape ecology
* Artificial life
* Evolutionary computation
* Social networks

Reviews

[So Hakim · Rating 4 out of 5]

Despite the title, it's not a book about complex system -- it's a book about examples of complex system.

In total there are 10 essays in this book, two of which may be thought as introduction. The other eight explore how complexity reigns in many areas of life: including but not limited to ecosystem, AI, and neural networks.