混合智能管理系统理论与方法研究  

Hybrid intelligence management system research:Theory and methods

作　　者：张维[1] 曾大军[2,3,4] 李一军 陈伟运[6] 王刊良 陈国青[8] 苏竣[9] 黄丽华[10] 刘业政[11] 杨彦武[6] 乔红 徐杨[14] 熊熊 李林静[2,3] 郑晓龙[2,3] 张柱 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,Tianjin 300072,China;The State Key Laboratory for Management and Control of Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China;Shenzhen Artificial Intelligence and Data Science Institute(Longhua),Shenzhen 518129,China;School of Economics and Management,Harbin Institute of Technology,Harbin 150001,China;School of Management,Huazhong University of Science and Technology,Wuhan 430074,China;Business School,Renmin University of China,Beijing 100872,China;School of Economics and Management,Tsinghua University,Beijing 100084,China;School of Public Policy and Management,Tsinghua University,Beijing 100084,China;School of Management,Fudan University,Shanghai 200433,China;School of Management,Hefei University of Technology,Hefei 230009,China;Research Center for Brain-inspired Intelligence,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China;School of Computer Science and Engineering,University of Electronic Science and Technology,Chengdu 611731,China)

机构地区：[1]天津大学管理与经济学部,天津300072 [2]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 [3]中国科学院大学,北京100049 [4]深圳人工智能与数据科学研究院(龙华),深圳518129 [5]哈尔滨工业大学经济与管理学院,哈尔滨150001 [6]华中科技大学管理学院,武汉430074 [7]中国人民大学商学院,北京100872 [8]清华大学经济管理学院,北京100084 [9]清华大学公共管理学院,北京100084 [10]复旦大学管理学院,上海200«3 [11]合肥工业大学管理学院,合肥230009 [12]中国科学院自动化研究所“类脑智能研究中心”,北京100190 [13]中国科学院大学计算机与控制学院,北京100049 [14]电子科技大学计算机科学与工程学院,成都611731

出　　处：《管理科学学报》2021年第8期10-17,共8页Journal of Management Sciences in China

基　　金：国家自然科学基金资助项目(71940001,71940007,71621002).

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.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 14th Five-Year Plan of the Management Science Department of the National Natural Science Foundation of China(NS-FC),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.

关 键 词：机器行为 人机协同 混合智能 

分 类 号：C93[经济管理—管理学]