Applications of Complex Adaptive Systems

Applications of Complex Adaptive Systems

Yin Shan (University of New South Wales, Australia) and Ang Yang (University of New South Wales, Australia)
Indexed In: SCOPUS
Release Date: February, 2008|Copyright: © 2008 |Pages: 352|DOI: 10.4018/978-1-59904-962-5
ISBN13: 9781599049625|ISBN10: 1599049627|EISBN13: 9781599049632|ISBN13 Softcover: 9781616926946
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Description

The universe is a massive system of systems, for example, ecological systems, social systems, commodity and stock market. These systems are complex, constantly adapting to their environment, and many are essential to the very existence of human beings. To fully understand these systems, complex adaptive systems research uses systemic inquiry to build multi-level and multidisciplinary representations of reality to study these systems.

Applications of Complex Adaptive Systems provides an estimable global view of the most up-to-date research on the strategies, applications, practice, and implications of complex adaptive systems, to better understand the various critical systems that surround human life. Researchers working in the field of complex adaptive systems and related fields such as machine learning and artificial intelligence, multi-agent systems, data mining, as well as professionals in related applications such as defense, bioinformatics, and sociology will find this book an indispensable state-of-art reference.

Reviews and Testimonials

This book covers a broad spectrum of ICAS research from discussion of general theory and foundations to more practical studies of ICASs in various artificial and natural systems.

– Yin Shan, Medicare Australia, Australia

This work provides a global view of current research on the strategies, applications, practice, and implications of complex adaptive systems research.

– Book News Inc. (2008)

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Yin Shan is with Medicare Australia as a senior review assessment officer, working on data mining and machine learning applications on medical data. He previously worked as a scientific programmer in the Australian National University and a postdoctoral research fellow at the University of New South Wales, Australia. He received his PhD in computer science from the University of New South Wales, in 2005 and his MSc and BSc in computer science from Wuhan University, China in 1999 and 1996, respectively. His main interests are evolutionary computation, in particular genetic programming and its applications.
Ang Yang joined the Division of Land and Water at the Commonwealth Scientific and Industrial Research Organization (CSIRO) in 2007. Yang holds a PhD in computer science (UNSW, Australia), an MInfoSc in information systems (Massey University, New Zealand), an MSc in environmental geography (Nanjing University, China), and a BSc in ecology and environmental biology (Ocean University of China, China). His current research interests include complex adaptive systems; multiagent systems; modeling and simulation; evolutionary computation; network theory; and Web-based intelligent systems.

Indices