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综合集成研讨厅体系起源、发展现状与趋势
引用本文:王丹力, 郑楠, 刘成林. 综合集成研讨厅体系起源、发展现状与趋势. 自动化学报, 2021, 47(8): 1822−1839 doi: 10.16383/j.aas.c210062
作者姓名:王丹力  郑楠  刘成林
作者单位:1.中国科学院自动化研究所复杂系统管理与控制国家重点实验室 北京 100190;;2.中国科学院自动化研究所模式识别国家重点实验室 北京 100190;;3.中国科学院大学人工智能学院 北京 100049
基金项目:国家自然科学基金(61872363), 北京市自然基金委—北京 市教委联合项目(21JD0044), 中国科学院自动化研究所基础科研项目(Y9J2FZ0801), 中国科学院战略性先导科技专项(XDA27000000)资助
摘    要:20世纪80年代前后, 国外学术界开始了复杂性与复杂系统的研究. 与此同时, 以钱学森为代表的一批中国学者也开展了与此相关的系统科学和开放的复杂巨系统的研究, 开创性地提出了综合集成法, 进一步发展为综合集成研讨厅体系, 并取得了一些成功应用. 但是由于当时人们对综合集成研讨厅体系的认识不足, 以及技术条件所限, 其应用受到了限制. 随着思维科学/认知科学、系统科学和信息技术、计算机技术、网络通信技术巨大进步, 特别是近年来大数据、云计算、人工智能的飞速发展, 出现了越来越多的复杂巨系统, 亟待有效方法来处理这类问题. 在此背景下, 综合集成研讨厅体系又获得广泛关注. 本文回顾了综合集成研讨厅体系产生和发展的重要历程, 分析了其典型案例, 介绍了国内外的相关研究进展, 最后提出了未来发展的几个方向. 本文力图为从事复杂巨系统研究和实践的相关人员提供理论方法指导和工程范例.

关 键 词:复杂性   复杂系统   综合集成   综合集成研讨厅体系
收稿时间:2021-01-20

Hall for Workshop of Metasynthetic Engineering: The Origin,Development Status and Future
Wang Dan-Li, Zheng Nan, Liu Cheng-Lin. Hall for workshop of metasynthetic engineering: the origin, development status and future. Acta Automatica Sinica, 2021, 47(8): 1822−1839 doi: 10.16383/j.aas.c210062
Authors:WANG Dan-Li  ZHENG Nan  LIU Cheng-Lin
Affiliation:1. The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190;;2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100190;;3. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049
Abstract:Around the 1980s, the international academia began to study complexity and complex systems. At the same time, a group of Chinese scientists represented by Qian Xue-Sen also carried out research on system science and open complex giant systems (OCGSs). They proposed the innovative methodology of metasynthesis, and further developed to hall for workshop of metasynthetic engineering. In early days, although this method had some successful applications, due to people' s insufficient understanding of the metasynthesis and the limitation of technical condition, metasynthesis was not widely used. In recent years, with the tremendous progress of noetic science/cognitive science, system science and information technology, computing technology, and network communication technology, especially the rapid development of big data, cloud computing, and artificial intelligence, more and more OCGSs have appeared and urgently need effective methods to process. In this context, metasynthesis has re-gained widespread attention. This article reviews the history of the generation and development of metasynthesis, analyzes typical cases of this method, introduces related research progress, and finally, proposes several future development directions. This article strives to provide theoretical guidance and engineering examples for those involved in the research and practice of OCGSs.
Keywords:Complexity  complex system  metasynthesis  hall for workshop of metasynthetic engineering
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