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| Systems Intelligence and Organizational Intelligence: From Scenario-Based to Model-Based Intelligence |
| Zhao Zhiyun1, Sun Xingkai2,3, Wang Xiao2,4, Gao Fang1, Wang Feiyue2,3,4 |
1.Institute of Scientific and Technical Information of China, Beijing 100038
2.The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
3.University of Chinese Academy of Sciences, Beijing 100049
4.Qingdao Academy of Intelligent Industries, Qingdao 266500 |
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Abstract The Communist Party of China has unveiled in full the Party leadership’s proposals for formulating the 14th Five-Year Plan (2021-2025) for National Economic and Social Development and the Long-Range Objectives through the year 2035. The document highlights China’s new development stage, philosophy, and pattern. It insists on emphasizing the core position of innovation in the overall situation of China’s modernization drive, and on scientific and technological self-reliance as strategic support for national development. At the same time, it puts forward the system concept among the five principles for the first time. In the context of “innovative development, intelligence first”, we must reposition intelligence theory and methods in accordance with the new development concept in a new historical position. Considering the need for the development of information theory and practice under the guidance of the spirit of the Fifth Plenary Session of the 19th Central Committee, this paper puts forward the concepts and theories of organizational intelligence and systems intelligence, and explores the information service methods that adapt to the new development stage. Intelligence is the integration of Knowledge, Action, and Organization (KAO). Artificial intelligence provides more effective means for realizing the original intention of the KAO integration. However, the actual implementation of the KAO integration must rely on new concepts and methods of systems engineering, especially model-based systems engineering methods, using model-based intelligence, from organizational intelligence to systems intelligence, and from organizational smartness to system smartness, to build smart intelligence systems engineering. Focusing on this concept, raising corresponding questions and addressing key concerns of the Fifth Plenary Session are the essence of this article.
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Received: 20 November 2020
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