Metasynthetic Computing and Engineering of Complex Systems

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This book offers a thorough introduction to metasynthetic computing and engineering, covering concepts, methodologies, analysis, design, and applications. It explores complex systems, particularly open complex giant systems like the Internet, and addresses complex behavioral and social issues while emphasizing actionable knowledge discovery in the era of big data. The author discusses the role of ubiquitous intelligence in these systems, including human, domain, social, network, data, and machine intelligence, highlighting their synergy through metasynthetic engineering. A key focus is on a human-centered methodology for qualitative-to-quantitative metasynthesis, aimed at understanding and managing open complex giant systems, alongside the computing approach known as metasynthetic computing. The book introduces various techniques and tools for analyzing and designing solutions for open complex problems. Utilizing systematological methodology, it addresses the complexities inherent in these systems, suggesting that neither reductionism nor holism alone may suffice. The work encourages discussions, design, implementation, and reflection on effective methodologies and tools for computing and engineering complex systems. It serves as a valuable resource for researchers, students, and practitioners across fields such as complex systems, artificial intelligence, data science, computer science, cognitive science, behavioral science,