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混合智能管理系统理论与方法研究

Hybrid intelligence management system research:Theory and methods

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【作者】张维；曾大军；李一军；陈伟运；王刊良；陈国青；苏竣；黄丽华；刘业政；杨彦武；乔红；徐杨；熊熊；李林静；郑晓龙；张柱；

【Author】 ZHANG Wei;ZENG Da-jun;LI Yi-jun;CHEN Wei-yun;WANG Kan-liang;CHEN Guo-qing;SU Jun;HUANG Li-hua;LIU Ye-zheng;YANG Yan-wu;QIAO Hong;XU Yang;XIONG Xiong;LI Lin-jing;ZHENG Xiao-long;ZHANG Zhu;College of Management and Economics,Tianjin University;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences;University of Chinese Academy of Sciences;Shenzhen Artificial Intelligence and Data Science Institute (Longhua);School of Economics and Management,Harbin Institute of Technology;School of Management,Huazhong University of Science and Technology;Business School,Renmin University of China;School of Economics and Management,Tsinghua University;School of Public Policy and Management,Tsinghua University;School of Management,Fudan University;School of Management,Hefei University of Technology;Research Center for Brain-inspired Intelligence,Institute of Automation,Chinese Academy of Sciences;School of Computer Science and Technology,University of Chinese Academy of Sciences;School of Computer Science and Engineering,University of Electronic Science and Technology;

【机构】天津大学管理与经济学部；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；中国科学院大学；深圳人工智能与数据科学研究院(龙华)；哈尔滨工业大学经济与管理学院；华中科技大学管理学院；中国人民大学商学院；清华大学经济管理学院；清华大学公共管理学院；复旦大学管理学院；合肥工业大学管理学院；中国科学院自动化研究所“类脑智能研究中心”；中国科学院大学计算机与控制学院；电子科技大学计算机科学与工程学院；

【摘要】随着人工智能技术的飞速发展及其在诸多行业中广泛和深入的应用,人机混合智能系统逐渐涌现.以人机协同混合智能为特定管理目标的混合智能管理系统,正处于萌芽阶段,已逐渐受到学术界、政府部门和产业界的重视,相关研究对实施科技强国战略具有重要意义.结合国家自然科学基金委管理科学部"十四五"规划相关领域专家的前期讨论意见,本文凝练出该领域值得深入探索的五个研究方向,并给出了每个方向的典型科学问题示例.更多还原

【Abstract】 With the rapid development of artificial intelligence and its extensive and in-depth application in many industries, human-machine hybrid intelligent systems have gradually emerged. The hybrid intelligence management system, which takes human-machine collaborative hybrid intelligence as specific management goals, is in its infancy, and has gradually attracted the attention of academia, government departments, and industry. Relevant research is of great significance to the implementation of the strategy of strengthening the country through science and technology. Building on the expert panel discussions concerning the 14 th FiveYear Plan of the Management Science Department of the National Natural Science Foundation of China(NSFC), this paper summarizes five promising research directions, worthy of further exploration, in the emerging field of hybrid intelligence management system. For each direction, representative scientific questions are presented, along with their implications.更多还原

【关键词】机器行为；人机协同；混合智能；
【Key words】 machine behaviour； human-machine collaboration； hybrid intelligence；

【基金】国家自然科学基金资助项目（71940001;71940007;71621002）

【文献出处】管理科学学报 ,Journal of Management Sciences in China , 编辑部邮箱 ,2021年08期

【分类号】TP18;TP315
【下载频次】1524

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