Abstract
The system of national economy is extremely large and complex. As a result, it is an undoubtedly difficult task to build models for economic system and simulate its operation. In order to cope with this issue, we need to find some advanced methodologies from the perspective of complex system. The system engineering is an option, but its effect is comparatively limited to deal with the uncertainty problems and distributed intelligence in the system. With the development of innovative ideas and techniques of artificial intelligence, authors have improved the theory and proposed the methodology of intelligent engineering [1]. From our point of view, it is a reasonable and feasible choice to serve as the foundation for modeling complex economic systems. It plays an important role in designing our model and coding our programs. In this chapter, the basic theory of intelligent engineering will be introduced. Particularly, we focus on two aspects to express the typical contents of intelligent engineering, i.e., generalized model and intelligent space. We hope it will be useful and inspiring for researchers to solve problems related to large complex systems with distributed intelligence.
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Hu, Z., Zhang, J., Zhang, N. (2015). Introduction of Intelligent Engineering. In: China’s Economic Gene Mutations. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47298-9_5
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DOI: https://doi.org/10.1007/978-3-662-47298-9_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-47297-2
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