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  5. arrow_forward_ios Metasynthetic Computing and Engineering of Complex Systems

Metasynthetic Computing and Engineering of Complex Systems

1 August 2014

We are in the era of complex systems. When facing open complex giant systems like the Internet, often, we do not know what we do not know and what we can do. An increasingly critical research challenge that has been facing researchers in different disciplines for decades is how to compute and engineer open complex giant systems and how to build corresponding problem-solving systems. Accordingly, different system metaphors, including reductionism, holism and systematology, have been proposed to address the system complexities in complex systems.

A new monograph, Metasynthetic Computing and Engineering of Complex Systems, the third monograph by Prof Longbing Cao, has recently been put online by Springer.  The book 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 discussion, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems.

Taking the human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis as the main methodology, this book provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering.

  • It provides a comprehensive overview of complex systems and their methodologies for understanding system complexities and ubiquitous intelligence.
  • It presents a new methodology and corresponding approaches, namely, metasynthetic computing and engineering, to view, analyse, design and implement problem-solving systems.
  • It includes tools for handling 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. Learn more about this book from http://www.springer.com/computer/swe/book/978-1-4471-6550-7

 

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