摘要
中国共产党第十九届五中全会审议和通过的《中共中央关于制定国民经济和社会发展第十四个五年规划和二〇三五年远景目标的建议》对我国进入新的发展阶段、坚持新的发展理念、构建新的发展格局提出了新的更高要求,坚持突出创新在我国现代化建设全局中的核心地位,把科技自立自强作为国家发展的战略支撑,同时规划《建议》要求必须遵循的五大原则中首次提出坚持系统观念。所谓创新发展,情报先行,站在新的历史起点、处在新的历史方位,我们必须按照新发展理念重新定位情报理论和方法。本文的核心就是按照十九届五中全会的精神系统审视未来情报理论与实践发展的需求,提出情报的系统组织和系统情报的概念和理论,探索适应新发展阶段的情报服务方式和方法。情报是知识(Knowledge,K)、行动(Action,A)和组织(Organization,O)的一体化,人工智能方法为实现情报科学的KAO一体化初心提供了更加坚实有效的手段与工具。然而,情报KAO一体化的切实落实,必须借助系统工程的新理念和方法,特别是基于模型的系统工程方法,利用基于模型的情报,从组织情报到系统情报,从组织智能到系统智能,构建智能情报的体系及其系统工程。围绕这一理念,提出相应问题,解答五中全会的重点关注,就是本文讨论的实质。
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 selfreliance 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.
作者
赵志耘
孙星恺
王晓
高芳
王飞跃
Zhao Zhiyun;Sun Xingkai;Wang Xiao;Gao Fang;Wang Feiyue(Institute of Scientific and Technical Information of China,Beijing 100038;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190;University of Chinese Academy of Sciences,Beijing 100049;Qingdao Academy of Intelligent Industries,Qingdao 266500)
出处
《情报学报》
CSSCI
CSCD
北大核心
2020年第12期1283-1294,共12页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金青年科学基金项目“基于个体及群体影响力量化分析的动态网群组织(CMOs)演化规律及规模预测研究”(61702519)
国家自然科学基金重点项目“基于CPSS的流程工业生产计划知识自动化系统及应用验证”(61533019)。
关键词
系统情报
系统智能
基于模型的情报
基于情景的情报
智能情报系统工程
systems intelligence
organizational intelligence
model-based intelligence
scenario-based intelligence
smart intelligence systems engineering