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第2期 崔铁军,等:基于因素空间的人工智能样本选择策略 ·351· 2020,31(n:853-864 WU Fei,DUAN Shukai,HE Bin,et al.Robust artificial [3]吴思凡,杜煜,徐世杰,等.基于深度确定性策略梯度的 intelligence and autonomous intelligent system[J].Bullet- 智能车汇流模型).计算机工程,2020,46(1):87-92. in of national natural science foundation of China,2019, WU Sifan,DU Yu,XU Shijie,et al.Traffic merging mod- 33(6651-655. el for intelligent vehicle based on deep deterministic policy [11]毕俊蕾,朱宗强,李致远.智能网联车环境下基于路段 gradient[J].Computer engineering,2020,46(1):87-92. 评分的数据转发模型).数据采集与处理,2019,34(6): [4]刘翠娟,刘箴,柴艳杰,等.人群应急疏散中一种多智能 1030-1038. 体情绪感染仿真模型几.计算机辅助设计与图形学学 BI Junlei,ZHU Zongqiang,LI Zhiyuan.Road section 报,2020,32(4):660-670. scoring-based data forwarding model for intelligent con- LIU Cuijuan,LIU Zhen,CHAI Yanjie,et al.A multi-agent nected vehicles[J].Journal of data acquisition pro- emotional contagion model in crowd emergency evacu- cessing,2019,346):1030-1038. ation[J].Journal of computer-aided design computer [12]钟义信.机制主义人工智能理论一 一种通用的人工 graphics,2020,32(4):660-670. 智能理论[J.智能系统学报,2018,13(1):2-18 [5]郭健,陈健,胡杨.基于小波智能模型的地铁车站基坑变 ZHONG Yixin.Mechanism-based artificial intelligence 形时序预测分析).岩土力学,2020(S1)299-304 theory:a universal theory of artifical intelligence[J]. 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Scientia sinica informationis, 2019, 49(3): 334–341. [15] 汪培庄. 因素空间理论——机制主义人工智能理论的 数学基础 [J]. 智能系统学报, 2018, 13(1): 37–54. WANG Peizhuang. Factor space-mathematical basis of mechanism based artificial intelligence theory[J]. CAAI transactions on intelligent systems, 2018, 13(1): 37–54. [16] 汪培庄. 因素空间与数据科学 [J]. 辽宁工程技术大学学 报 (自然科学版), 2015, 34(2): 273–280. WANG Peizhuang. Factor spaces and data science[J]. Journal of Liaoning Technical University (Natural Sci￾ence Edition), 2015, 34(2): 273–280. [17] 汪培庄, 郭嗣琮, 包研科, 等. 因素空间中的因素分析 法 [J]. 辽宁工程技术大学学报(自然科学版), 2014, 33(7): 865–870. WANG Peizhuang, GUO Sicong, BAO Yanke, et al. Causality analysis in factor spaces[J]. Journal of Liaoning Technical University (Natural Science Edition), 2014, 33(7): 865–870. [18] 第 2 期 崔铁军,等:基于因素空间的人工智能样本选择策略 ·351·
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