There exists compelling evidence that as evolution takes its course the complexity of our social, economic, educational and cultural environments increases. Methods and tools that were suitable for resolving issues arising in stable environments are not effective under conditions of uncertainty created by the occurrence of frequent, unpredictable events. The new Science of Complexity offers a framework and software tools for resolving issues which change during the problem solving process. The power of Complexity Science concepts (self-organisation, emergence, autonomy, evolution, adaptation) backed by intelligent software tools is illustrated by a variety of case studies from author's rich experience as a researcher and practitioner, including large-scale logistics, social security provision, fraud detection, security screening, data mining, knowledge discovery, education and many others.
|Keywords:||Complexity, Self-Organisation, Emergence, Evolution, Adaptation, Multi-Agent Technology|
Professor, Complexity and Dersign Group, The Open University, London, UK
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