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人机混合智能决策范式及作战应用研究

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人机混合智能结合机器智能和人类智能,充分发挥机器和人类各自的智能优势,实现智能的跨载体和跨认知.作为一种新型智能形式,人机混合智能具有广泛的应用前景.人机混合智能决策将人的思维引入机器智能系统中,利用多智能协同完成对某种任务或问题的混合决策.针对现有的人机混合智能决策研究缺少整体性的理论描述和分类对比,且缺少针对军事领域的作战决策系统的架构描述,从协同交互手段和决策阶段的角度对通用人机混合决策范式进行分类和比较,分析了不同范式下的人机混合智能决策系统在作战方面的应用.此外,总结了 目前人机混合智能决策范式和系统存在的问题,并展望了未来的发展方向.
Study on Human-Machine Hybrid Intelligent Decision-making Paradigm and Its Operational Application
Human-machine hybrid intelligence combines machine intelligence and human intelligence,giving full play to the re-spective intelligence advantages of machines and humans,and realizing cross-vector and cross-cognition of intelligence.As a new form of intelligence,human-machine hybrid intelligence has a wide range of application prospects.Human-machine hybrid intelli-gence decision making introduces human thinking into intelligence systems,and utilizes multi-intelligence cooperation to complete hybrid decision-making for a certain task.Existing research on human-machine hybrid intelligence decision making lacks holistic theoretical descriptions and categorical comparisons,more importantly,there are fewer architectural descriptions of operational decision making systems concerning the military domain.Therefore,the generic human-machine hybrid decision making paradigm is classified from the perspectives of collaborative interaction means and decision stages,while the applications of human-machine hybrid intelligent decision making systems in different paradigms for operational purposes are analyzed.In addition,the problems of current human-machine hybrid intelligent decision-making paradigms and systems are summarized,and the future development directions are prospected.

Human-Machine hybrid intelligenceHybrid decision-makingHuman-in-the-loopHuman-on-the-loopHuman-outside-the-loop

丁炎炎、冯建航、叶玲、郑少秋、刘凡

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河海大学计算机与软件学院 南京 210098

哈尔滨工程大学水下机器人技术重点实验室 哈尔滨 150001

中国电子科技集团公司第二十八研究所 南京 210007

人机混合智能 混合决策 人在环内 人在环上 人在环外

装备预研教育部联合基金信息系统需求重点实验室开放基金水下机器人技术重点实验室研究基金江苏省高等学校"青蓝工程"项目

8091B032157LHZZ2021-M042021JCJQ-SYSJJ-LB06905

2024

10.11896/jsjkx.230300180

计算机科学
重庆西南信息有限公司（原科技部西南信息中心）

计算机科学

CSTPCD北大核心
影响因子：0.944
ISSN：1002-137X
年,卷(期)：2024.51(6)
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