[1]CUI Tiejun,LI Shasha.Function and relationship of data, factor, computing power, and algorithm in the artificial system[J].CAAI Transactions on Intelligent Systems,2022,17(4):772-779.[doi:10.11992/tis.202101033]
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Function and relationship of data, factor, computing power, and algorithm in the artificial system

References:
[1] CUI Tiejun, LI Shasha. Research on complex structures in space fault network for fault data mining in system fault evolution process[J]. IEEE access, 2019, 7: 121881–121896.
[2] CUI Tiejun, LI Shasha. Research on basic theory of space fault network and system fault evolution process[J]. Neural computing and applications, 2020, 32(6): 1725–1744.
[3] CUI Tiejun, LI Shasha. Research on disaster evolution process in open-pit mining area based on space fault network[J]. Neural computing and applications, 2020, 32(21): 16737–16754.
[4] LI Shasha, CUI Tiejun. Research on analysis method of event importance and fault model in space fault network[J]. Computer communications, 2020, 159: 289–298.
[5] CUI Tiejun, LI Shasha. System movement space and system mapping theory for reliability of IoT[J]. Future generation computer systems, 2020, 107: 70–81.
[6] 欧春尧, 刘贻新, 戴海闻, 等. 人工智能企业颠覆性创新的影响因素及其作用路径研究[J/OL]. 软科学, 2021: 1?10. (2021?01?08) [2021?01?23].https://kns.cnki.net/kcms/detail/51.1268.G3.20210107.1744.020.html.
OU Chunyao, LIU Yixin, DAI Haiwen, et al. Research on the influencing factors and action path of disruptive innovation in artificial intelligence enterprises[J/OL]. Soft science, 2021: 1?10. (2021?01?08) [2021?01?23].https://kns.cnki.net/kcms/detail/51.1268.G3.20210107.1744.020.html.
[7] 崔铁军, 李莎莎. 基于因素驱动的东方思维人工智能理论研究[J]. 广东工业大学学报, 2021, 38(1): 1–4
CUI Tiejun, LI Shasha. Research on the intelligent science theory of oriental thinking based on factor driven[J]. Journal of Guangdong university of technology, 2021, 38(1): 1–4
[8] 周玉龙, 袁梦, 周永松, 等. 航空航天复杂环锻件生产动态扰动因素的智能管控技术[J]. 锻压技术, 2020, 45(12): 7–14
ZHOU Yulong, YUAN Meng, ZHOU Yongsong, et al. Intelligent management and control technology for dynamic disturbance factors in production of complex ring forgings in aerospace[J]. Forging & stamping technology, 2020, 45(12): 7–14
[9] RIS K, STANKOVIC Z, AVRAMOVIC Z. Implications of implementation of artificial intelligence in the banking business with correlation to the human factor[J]. Journal of computer and communications, 2020, 8(11): 130–144.
[10] 程媛, 刘钒, 向叙昭. 基于结构方程模型的智能制造服务优化的影响因素研究[J]. 技术与创新管理, 2020, 41(6): 548–555
CHENG Yuan, LIU Fan, XIANG Xuzhao. Research on influencing factors of service optimization in wisdom manufacturing based on structural equation model[J]. Technology and innovation management, 2020, 41(6): 548–555
[11] 何滨兵, 娄静涛, 齐尧, 等. 不确定性因素下基于机会约束的智能车路径规划算法[J]. 军事交通学院学报, 2020, 22(10): 81–89
HE Binbing, LOU Jingtao, QI Yao, et al. Intelligent vehicle path planning algorithm based on chance constraint under uncertainty[J]. Journal of military transportation university, 2020, 22(10): 81–89
[12] 胡斌, 吕建林, 杨坤. 人工智能企业创新策源能力影响因素分析[J]. 西安财经大学学报, 2020, 33(5): 27–34
HU Bin, LYU Jianlin, YANG Kun. Analysis of influencing factors for the innovation origin ability of the artificial intelligence enterprise[J]. Journal of Xi’an university of finance and economics, 2020, 33(5): 27–34
[13] MIR U B, SHARMA S, KAR A K, et al. Critical success factors for integrating artificial intelligence and robotics[J]. Digital policy, regulation and governance, 2020, 22(4): 307–331.
[14] 崔铁军, 李莎莎. 基于因素空间的人工智能样本选择策略[J]. 智能系统学报, 2021, 16(2): 346?352.
CUI Tiejun, LI Shasha. Sample selection strategy of artificial intelligence based on factor space[J]. CAAI transactions on intelligent systems, 2021, 16(2): 346?352.
[15] 王维昌, 王贵华, 庞朝利, 等. 小型智能挖掘机设计中的人机因素分析研究[J]. 中国设备工程, 2019(16): 161–162
WANG Weichang, WANG Guihua, PANG Chaoli, et al. Analysis of human-machine factors in the design of small intelligent excavator[J]. China plant engineering, 2019(16): 161–162
[16] 王雄. 影响大数据、机器学习和人工智能未来发展的8个因素[J]. 计算机与网络, 2019, 45(12): 43
[17] 崔铁军, 汪培庄. 空间故障树与因素空间融合的智能可靠性分析方法[J]. 智能系统学报, 2019, 14(5): 853–864
CUI Tiejun, WANG Peizhuang. Intelligent reliability analysis method based on space fault tree and factor space[J]. CAAI transactions on intelligent systems, 2019, 14(5): 853–864
[18] 李兴森, 许立波, 刘海涛. 面向问题智能处理的基元-因素空间模型研究[J]. 广东工业大学学报, 2019, 36(1): 1–9
LI Xingsen, XU Libo, LIU Haitao. A research on problem oriented intelligent processing model by basic-element and factor space[J]. Journal of Guangdong university of technology, 2019, 36(1): 1–9
[19] 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
[20] 孟凡生, 赵刚. 传统制造向智能制造发展影响因素研究[J]. 科技进步与对策, 2018, 35(1): 66–72
MENG Fansheng, ZHAO Gang. Research on the influence factors of traditional manufacturing to the development of intelligent manufacturing[J]. Science & technology progress and policy, 2018, 35(1): 66–72
[21] 汪华东, 汪培庄, 郭嗣琮. 因素空间中改进的因素分析法[J]. 辽宁工程技术大学学报(自然科学版), 2015, 34(4): 539–544
WANG Huadong, WANG Peizhuang, GUO Sicong. Improved factor analysis on factor spaces[J]. Journal of Liaoning Technical University (natural science edition), 2015, 34(4): 539–544
[22] 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
[23] 崔铁军, 汪培庄, 马云东. 01SFT中的系统因素结构反分析方法研究[J]. 系统工程理论与实践, 2016, 36(8): 2152–2160
CUI Tiejun, WANG Peizhuang, MA Yundong. Inward analysis of system factor structure in 01 space fault tree[J]. Systems engineering-theory & practice, 2016, 36(8): 2152–2160
[24] MCCULLOCH W S, PITTS W. A logical calculus of the ideas immanent in nervous activity[J]. Bulletin of mathematical biology, 1990, 52(1/2): 99–115.
[25] ROSENBLATT F. The perception: a probabilistic model for information storage and organization in the brain[J]. Psychological review, 1958, 65(6): 386–408.
[26] HOPFIELD J J. Neural networks and physical systems with emergent collective computational abilities[J]. Proceedings of the national academy of sciences of the United States of America, 1982, 79(8): 2554–2558.
[27] MCCARTHY J, MINSKY M L, ROCHESTER N, et al. Proposal for the Dartmouth summer research project on artificial intelligence[R]. Technology Report. Dartmouth: Dartmouth College, 1955.
[28] SIMON H A. The sciences of the artificial[M]. Cambridge: M. I. T. Press, 1969.
[29] NEWELL A. Physical symbol systems[J]. Cognitive science, 1980, 4(2): 135–183.
[30] TURING A M. Computing machinery and intelligence[J]. Mind, 1950, LIX(236): 433–460.
[31] BROOKS R A. Elephant cannot play chess[J]. Autonomous robert, 1990, 6: 3015.
[32] BROOKS R A. Engineering approach to building complete, intelligent beings[C]// Proceedings of the SPIE Intelligent Robots and Computer Vision VII. Boston: SPIE, 1989: 618?625.
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