Intelligent Complex Adaptive Systems

Ang Yang (University of New South Wales, Australia) and Yin Shan (University of New South Wales, Australia)

Indexed In: SCOPUS

Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9781599047171

EISBN13: 9781599047195

DOI: 10.4018/978-1-59904-717-1

Description:

As the world currently subsists as a platform for exchange among complex, intelligent systems that are constantly adapting and evolving to suit the surrounding physical, sociological, emotional, and sensory environment, understanding the theory and emergence of complex adaptive systems is of paramount importance.

Intelligent Complex Adaptive Systems explores the foundation, history, and theory of intelligent adaptive systems, providing scholars, researchers, and practitioners with a fundamental resource on topics such as the emergence of intelligent adaptive systems in social sciences, biologically inspired artificial social systems, sensory information processing, as well as the conceptual and methodological issues and approaches to intelligent adaptive systems.

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Reviews

This book provides readers with an extremely valuable diverse view of ICAS and also clearly demonstrates the wide applicability of ICAS theories.

– Ang Yang, CSIRO Land and Water, Australia

Designed for use by scholars, researchers and practitioners, this book provides fundamental information on the foundation, history and theory of intelligent adaptive systems.

– Book News Inc. (August 2008)

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.

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.

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