Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.

 Preface.-  Complex Systems.- Ubiquitous Intelligence. - Systems Methodologies. – Computing Paradigms. –Metasynthesis. – OSOAD Methodology. –Visual Modelling. – Formal Modelling. – Integrative Modelling. – Agent Service- Oriented Architectural Design. – Agent Service-Oriented Detailed Design. – Ontological Engineering. – OSOAD Case  Study. – Actionable Knowledge Discovery and Delivery. – Learning Complex Behavioural and Social Data. – Opportunities and Prospects. Index

Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author:Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era.Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering.Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing.Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems.  Metasynthetic Computing and Engineering of Complex Systems uses the systematological methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.

Provides a comprehensive overview of complex systems and their methodologies for understanding system complexities and ubiquitous intelligence Presents a new methodology and corresponding approaches, namely, metasynthetic computing and engineering, to view, analyse, design and implement problem-solving systems Includes tools for handling open complex systems and problems