[1] 杨镜宇, 唐本富, 吴曦, 等. 面向事件认知的战略博弈系统设计[J]. 军事运筹与系统工程, 2020, 34(3): 59-65. Yang Jingyu, Tang Benfu, Wu Xi, et al.Design of Strategic Wargame System Oriented by Event Cognition[J]. Military Operations Research and Systems Engineering, 2020, 34(3): 59-65. [2] 汪永庆, 谈华莹, 刘同林, 等. 兰德战略评估系统的方法与推演设计建模[M]. 北京: 航空工业出版社, 2015. Wang Yongqing, Tan Huaying, Liu Tonglin, et al.Rand Strategy Assessment System Process and Derivation Modeling Design[M]. Beijing: Aviation Industry Press, 2015. [3] 胡晓峰, 罗批, 司光亚, 等. 战争复杂系统建模与仿真[M]. 北京: 国防大学出版社, 2005. Hu Xiaofeng, Luo Pi, Si Guangya, et al.War Complex System Modeling and Simulation[M]. Beijing: National Defense University Press, 2005. [4] 杨镜宇. 战争分析仿真实验系统[M]. 北京: 国防大学出版社, 2014. Yang Jingyu.War Analysis Simulation Experiment System[M]. Beijing: National Defense University Press, 2014. [5] 杨镜宇. 体系实验工程的探索与实践[J]. 科技导报, 2018, 36(24): 6-12. Yang Jingyu.Exploration and Practice of SOS Experiment Engineering[J]. Science & Technology Review, 2018, 36(24): 6-12. [6] 于洪, 何德牛, 王国胤, 等. 大数据智能决策[J]. 自动化学报, 2020, 46(5): 878-896. Yu Hong, He Deniu, Wang Guoyin, et al.Big Data for Intelligent Decision Making[J]. Acta Automatica Sinica, 2020, 46(5): 878-896. [7] Zhu K, Joshi S, Wang Q G, et al.Guest Editorial Special Section on Big Data Analytics in Intelligent Manufacturing[J]. IEEE Transactions on Industrial Informatics(S1551-3203), 2019, 15(4): 2382-2385. [8] 刘知远, 韩旭, 孙茂松. 知识图谱与深度学习[M]. 北京: 清华大学出版社, 2020. Liu Zhiyuan, Han Xu, Sun Maosong.Knowledge Graph and Deep Learning[M]. Beijing: Tsinghua University Press, 2020. [9] 李力, 林懿伦, 曹东璞, 等. 平行学习——机器学习的一个新型理论框架[J]. 自动化学报, 2017, 43(1): 1-8. Li Li, Lin Yilun, Cao Dongpu, et al.Parallel Learning—a New Framework for Machine Learning[J]. Acta Automatica Sinica, 2017, 43(1): 1-8. [10] 汪建基, 马永强, 陈仕涛, 等. 碎片化知识处理与网络化人工智能[J]. 中国科学: 信息科学, 2017, 47(2): 171-192. Wang Jianji, Ma Yongqiang, Chen Shitao, et al.Fragmentation Knowledge Processing and Networked Artificial Intelligence[J]. Sci. Sin. Inform., 2017, 47(2): 171-192. [11] Michael E L, John Y, Michael S, et al.Hedgemony: A Game of Strategic Choices[M]. Santa Monica, CA: RAND Corporation, 2020. [12] 吴云超, 毛少杰, 周芳. 面向仿真推演的领域知识图谱构建技术[J]. 指挥信息系统与技术, 2019, 10(3): 32-36. Wu Yunchao, Mao Shaojie, Zhou Fang.Domain Knowledge Graph Construction Technology for Simulation Deduction[J]. Command Information System and Technology, 2019, 10(3): 32-36. [13] 乔凤才. 基于频繁子图模式挖掘的群体性抗议事件检测与预测技术研究[D]. 长沙: 国防科技大学, 2018. Qiao Fengcai.Detecting and Predicting Civil Unrest Events Based on Frequent Subgraph Pattern Mining[D]. Changsha: National University of Defense Technology, 2018. [14] 王坤峰, 苟超, 段艳杰, 等. 生成式对抗网络GAN的研究进展与展望[J]. 自动化学报, 2017, 43(3): 321-332. Wang Kunfeng, Gou Chao, Duan Yanjie, et al.Generative Adversarial Networks: the State of the Art and Beyond. Acta Automatica Sinica, 2017, 43(3): 321-332. [15] Andrew W, Bethany L, Kiran L, et al.Next-generation Wargames[J]. Science (S0036-8075), 2018, 362(6421): 1362-1364. [16] 胡晓峰, 罗批, 张明智, 等. 社会仿真——信息化战争研究的新领域[M]. 北京: 电子工业出版社, 2010. Hu Xiaofeng, Luo Pi, Zhang Mingzhi, et al.Social Simulation—a New Field of Information Warfare Research[M]. Beijing: Electronic Industry Press, 2010. |