尹光辉 , 何泽南 , 孙铜锴 . 基于层次分析法的合成部队信火打击能力评估 [J ] . 火力与指挥控制 , 2020 , 45 ( 12 ): 107 - 110 .

YIN G H , HE Z N , SUN T K . Information and fire attack capability evaluation of synthetic forces based on analytic hierarchy process [J ] . Fire Control & Command Control , 2020 , 45 ( 12 ): 107 - 110 . (in Chinese)

彭佳 , 杨兵 , 李武军 . 基于灰软集的四维灰靶决策模型在网电一体作战方案优选中的应用 [J ] . 信息工程大学学报 , 2021 , 22 ( 5 ): 635 - 640 .

PENG J , YANG B , LI W J . Application of four-dimensional grey target decision model based on grey soft set in optimization of network-electric integrated combat scheme [J ] . Journal of University of Information Engineering , 2021 , 22 ( 5 ): 635 - 640 . (in Chinese)

代森强 , 田尚保 , 袁聪 . 基于能力需求匹配的联合战术行动兵力筹划方法 [J ] . 空军预警学院学报 , 2021 , 35 ( 2 ): 137 - 140 .

DAI S Q , TIAN S B , YUAN C . Force planning method for joint tactical operations based on capability requirement matching [J ] . Journal of the Air Force Early Warning Academy , 2021 , 35 ( 2 ): 137 - 140 . (in Chinese)

刘遵飞 , 邹波 , 陈续麟 , 等 . 有人与无人联合作战模式下的装备体系结构建模与效能评估 [J ] . 兵工学报 , 2022 , 43 ( 增刊1 ): 155 - 161 .

LIU Z F , ZOU B , CHEN X L , et al. Architecture modeling and effectiveness evaluation of equipment system under manned and unmanned joint operation mode [J ] . Acta Armamentarii , 2022 , 43 ( S1 ): 155 - 161 . (in Chinese) DOI: 10.12382/bgxb.2022.A027 http://doi.org/10.12382/bgxb.2022.A027 As the application of information technology in military becomes rounded and in-depth，future operations are developing towards intelligent and joint operations，and show multiple complexity. Department of Defense architecture framework is utilized to model the equipment system under joint operation mode in multi-views. Then the effectiveness of equipment system is simulated and evaluated on the basis of observation，orientation，decision and action operation loop model. The results show that the proposed method has the capability of reflecting the essence of operation under the conditions of informatization，offering theoretical support to the optimization of equipment system. Moreover，it provides quantificational support in theory and information-link orientation for commanding joint operation andwinning wars under informationizatoin conditions.

祝学军 , 赵长见 , 梁卓 , 等 . OODA智能赋能技术发展思考 [J ] . 航空学报 , 2021 , 42 ( 4 ): 16 - 25 .

ZHU X J , ZHAO C J , LIANG Z , et al. Thoughts on the development of OODA intelligent enabling technology [J ] . Acta Aeronautica et Astronautica Sinica , 2021 , 42 ( 4 ): 16 - 25 . (in Chinese)

KRAUS S , KANBACH D K , KRYSTA P M , et al . Facebook and the creation of the metaverse:radical business model innovation or incremental transformation [J ] . International Journal of Entrepreneurial Behavior & Research , 2022 , 28 ( 9 ): 52 - 77 .

闫野 , 印二威 , 张皓洋 , 等 . 元宇宙军事运用潜力探索 [J ] . 指挥与控制学报 , 2022 , 8 ( 3 ): 235 - 238 .

YAN Y , YIN E W , ZHANG H Y , et al . Exploration of military application potential of metaverse [J ] . Journal of Command and Control , 2022 , 8 ( 3 ): 235 - 238 . (in Chinese)

赵玉桐 , 杨建林 . 基于跨领域专利的颠覆性技术识别研究-以人工智能领域为例 [J ] . 情报理论与实践 , 2023 , 46 ( 3 ): 174 - 182 .

ZHAO Y T , YANG J L . Research on disruptive technology recognition based on cross-domain patents-a case study of artificial intelligence [J ] . Information Studies:Theory & Application , 2023 , 46 ( 3 ): 174 - 182 . (in Chinese)

田鹏 , 左大义 , 高艳春 , 等 . 面向实际场景的人工智能脆弱性分析 [J ] . 计算机技术与发展 , 2021 , 31 ( 11 ): 129 - 135 .

TIAN P , ZUO D Y , GAO Y C , et al . Artificial intelligence vulnerability analysis for practical scenarios [J ] . Computer Technology and Development , 2021 , 31 ( 11 ): 129 - 135 . (in Chinese)

KELLER J . DARPA seeks to apply trusted computing to artificial intelligence and machine learning models [J ] . Military & Aerospace Electronics , 2019 , 30 ( 1 ): 8 - 9 .

陈刚 , 姚丽亚 , 王国新 , 等 . 面向鲁棒决策的战场态势评估人机共识形成方法 [J ] . 兵工学报 , 2022 , 43 ( 11 ): 2953 - 2964 . DOI: 10.12382/bgxb.2021.0557 http://doi.org/10.12382/bgxb.2021.0557 针对地面突击装备战术级、高动态、分布式、强实时作战过程中的战场态势高度复杂且信息不确定问题，提出一种面向鲁棒决策的战场态势评估人机共识形成方法，实现“人类智能”与“人工智能”在综合态势评估中的有机融合。首先，通过采集乘员（专家）态势评估行为实验样本，模拟乘员（专家）对战场态势信息的认知过程，构建战场态势评估两级智能代理模型；其次，提出一种对人机偏好不敏感的决策鲁棒指数，车辆乘员基于该指数在高强度对抗下快速判断形成人机共识，辅助指挥员进行鲁棒决策。在某作战仿真系统中进行了红蓝对抗的想定设计，并以敌方意图为态势评估对象进行了案例验证，验证了该方法的有效性。

CHEN G , YAO L Y , WANG G X , et al. A human-machine consensus formation method for robust decision making in battlefield situation assessment [J ] . Acta Armamentarii , 2022 , 43 ( 11 ): 2953 - 2964 . (in Chinese) DOI: 10.12382/bgxb.2021.0557 http://doi.org/10.12382/bgxb.2021.0557 Ground assault equipment tactical-level, highly dynamic, distributed, and strong real-time operations have the characteristics of battlefield complexity and information uncertainty, to address these characteristics this paper proposes a human-machine consensus formation method for battlefield situation assessment robust decision making, which fuses “human intelligence” and “artificial intelligence” to achieve comprehensive situational assessment. First, by collecting experimental samples of crew members (‘experts’) situational assessment behaviors and simulating their cognitive process of battlefield situational information, a two-level intelligent agent model for battlefield situational assessment is constructed. Then, a decision robustness index that is insensitive to human-machine preferences is proposed, based on which vehicle crew members quickly judge and form human-machine consensus under high-intensity confrontation, and assist commanders in making robust decisions. We design a red-blue confrontation scenario in a battle simulation system, and use an enemy combat intent recognition example to test the utility of the proposed method.

LYNN M , DAVID A , LOUIS R . Keeping humans in the loop : pooling knowledge through artificial swarm Intelligence to improve business decision making [J ] . California Management Review , 2019 , 61 ( 4 ): 84 - 109 .

ULRICH M N , KURT E , KAMPHUES J . Machine learning and statistics: a study for assessing innovative demand forecasting models [J ] . Procedia Computer Science , 2021 , 180 ( 1 ): 23 - 33 .

EDWARD E O , NPROMISE A N . Managing uncertainty in artificial intelligence and expert systems using Bayesian theory and probabilistic reasoning [J ] . American Journal of Engineering Research , 2020 , 9 ( 3 ): 11 - 18 .

JENNINGS G . DARPA to brief industry on ACE manned/ unmanned dogfighting programme [J ] . Jane's Defence Weekly , 2019 , 56 ( 20 ): 11 .

KELLER J . DARPA eyes artificial intelligence(Al) and unmanned aircraft in jet fighter dogfighting [J ] . Military & Aerospace Electronics , 2019 , 30 ( 6 ): 30 .

李德栋 , 曹建 . 对美国忠诚僚机的思考及对策建议 [J ] . 国防科技 , 2020 , 41 ( 4 ): 19 - 22 .

LI D D , CAO J . Thoughts and suggestions on the faithful wingman of the United States [J ] . National Defense Technology , 2020 , 41 ( 4 ): 19 - 22 . (in Chinese)

ZHOU K , WEI R X , ZHANG Q R , et al. Learning system for air combat decision inspired by cognitive mechanisms of the brain [J ] . Quality Control, Transactions , 2020 , 8 : 8129 - 8144 .

田银 , 徐鹏 . 脑电与认知神经科学 [M ] . 北京 : 科学出版社 , 2020 .

TIAN Y , XU P . EEG and cognitive neuroscience [M ] . Beijing : Science Press , 2020 . (in Chinese)

王文喜 , 周芳 , 万月亮 , 等 . 元宇宙技术综述 [J ] . 工程科学学报 , 2022 , 44 ( 4 ): 744 - 756 .

WANG W X , ZHOU F , WAN Y L , et al . A review of metaverse technology [J ] . Journal of Engineering Science , 2022 , 44 ( 4 ): 744 - 756 . (in Chinese)

纪广 , 郝建国 , 张振伟 . 面向无人机作战的虚拟孪生系统设计方案 [J ] . 兵工学报 , 2022 , 43 ( 8 ): 1902 - 1912 .

JI G , HAO J G , ZHANG Z W . Designscheme of virtual twin system for UAV combat [J ] . Acta Armamentarii , 2022 , 43 ( 8 ): 1902 - 1912 . (in Chinese)

赵国栋 , 易欢欢 , 徐远重 . 元宇宙 [M ] . 北京 : 中译出版社 , 2021 .

ZHAO G D , YI H H , XU Y Z . The metaverse [M ] . Beijing : Chinese Translation Press , 2021 . (in Chinese)

周芳 , 毛少杰 , 吴云超 , 等 . 实时态势数据驱动的平行仿真推演方法 [J ] . 中国电子科学研究院学报 , 2020 , 15 ( 4 ): 323 - 328 .

ZHOU F , MAO S J , WU Y C , et al. Real-time situation data-driven parallel simulation deduction method [J ] . Journal of Chinese Academy of Electronic Sciences , 2020 , 15 ( 4 ): 323 - 328 . (in Chinese)