Intelligent Complex Adaptive Systems

Ang Yang

ISBN 10: 1599047179 / ISBN 13: 9781599047171

Published by IGI Global, US, 2008

About this Item

Seller Inventory # LU-9781599047171

Bibliographic Details

• Title: Intelligent Complex Adaptive Systems
• Publisher: IGI Global, US
• Publication Date: 2008
• Language: English
• ISBN 10: 1599047179
• ISBN 13: 9781599047171
• Binding: Hardback
• Edition: Illustrated.
• Condition: New
• Dimensions: 18.42W x 2.54H x 26.04D centimeters 18.42 centimeters width by 2.54 centimeters height by 26.04 centimeters depth
• Weight: 845 grams

About this title

Synopsis

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.

About the Author

Ang Yang joined the Division of Land and Water at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in 2007. Dr.Yang holds a Ph.D in Computer Science (UNSW, Australia), a MInfoSc in Information Systems (Massey University, New Zealand), a MSc in Environmental Geography (Nanjing University, China), a BSc in Ecology & Environmental Biology (Ocean University of China, China). His current research interests include complex adaptive systems, multi-agent systems, modelling 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 in the University of New South Wales, Australia. He received his Ph.D in Computer Science from the University of New South Wales, in 2005 and his M.Sc and B.Sc 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.