广东工业大学学报 ›› 2021, Vol. 38 ›› Issue (01): 1-4.doi: 10.12052/gdutxb.200123

• 可拓学与创新方法 •    下一篇

基于因素驱动的东方思维人工智能理论研究

崔铁军1, 李莎莎2   

  1. 1. 安全科学与工程学院 辽宁工程技术大学,辽宁 阜新 123000;
    2. 工商管理学院 辽宁工程技术大学,辽宁 葫芦岛 125105
  • 收稿日期:2020-09-14 出版日期:2021-01-25 发布日期:2020-12-01
  • 作者简介:崔铁军(1983–),男,副教授,安全工程博士,力学博士后,安全科学博士后,主要研究方向为系统可靠性及其智能分析理论,E-mail:ctj.159@163.com
  • 基金资助:
    国家自然科学基金资助项目(52004120,51704141);国家重点研发计划项目(2017YFC1503102)

Research on the Intelligent Science Theory of Oriental Thinking Based on Factor Driven

Cui Tie-jun1, Li Sha-sha2   

  1. 1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
    2. School of business administration, Liaoning Technical University, Huludao 125000, China
  • Received:2020-09-14 Online:2021-01-25 Published:2020-12-01

摘要: 人工智能理论成为当代各国为维护战略利益所必须争夺的重点领域之一。从思维层面对人工智能理解可分为西方思维和东方思维, 前者是整分合的机械还原方法论, 后者是万物互联的哲学思想。作者在研究安全科学和人工智能的理论过程中发现了一些值得研究的问题。一般领域, 技术上升为理论的过程是从解析到推理、从数据到因素、从具体科学到哲学的过程。作者认为人工智能应是因素驱动的, 而非数据驱动的科学。因素驱动的思想在中国传统哲学中是极为重要的, 符合东方思维特征也适用于人工智能基础理论。因此中国原创人工智能基础理论是独具特色的, 面对的机遇大于挑战。这从根本上保证了东方思维在东西方人工智能基础理论研究的博弈中将最终胜出。

关键词: 人工智能, 因素驱动, 东方思维, 传统哲学

Abstract: The theory of artificial intelligence has become one of the key fields that all countries must contend for in order to safeguard their strategic interests. From the perspective of thinking, artificial intelligence understanding can be divided into Western thinking and Oriental thinking. The former is the mechanical reduction methodology of integration-separation-integration, and the latter is the philosophical thought of interconnection of all things. In the process of studying the theory of safety science and artificial intelligence, some problems are found worthy of study. The process from general domain technology to theory is from analysis to reasoning, from data to factors, from concrete science to philosophy. Artificial intelligence is thought to be factor driven rather than data driven. The thought of factor driven is very important in Chinese traditional philosophy, which accords with the characteristics of Oriental thinking and is also applicable to the basic theory of artificial intelligence. Therefore, the original basic theory of artificial intelligence in China is unique, and the opportunities are greater than the challenges. This fundamentally ensures that the Oriental thinking will win the game between the East and the West in the study of the basic theory of artificial intelligence.

Key words: artificial intelligence, factor driven, oriental thinking, traditional philosophy

中图分类号: 

  • N94-0
[1] 钟义信. 从“机械还原方法论”到“信息生态方法论”-人工智能理论源头创新的成功路[J]. 哲学分析, 2017, 8(5): 133-144.
ZHONG Y X. From mechanical reductionism to methodology of information ecology: successful approach to innovation for AI theory [J]. Philosophical Analysis, 2017, 8(5): 133-144.
[2] MCCULLOCH W C, PITTS W. A logic calculus of the ideas immanent in nervous activity [J]. Bulletin of Mathematical Biophysics, 1943, 5(4): 115-33.
[3] ROSENBLATT F. The perception: a probabilistic model for information storage and organization in the brain [J]. Psychical Review, 1958, 65(6): 386-408.
[4] MCCARTHY J. Proposal for the dartmouth summer research project on artificial intelligence[R]. Technical Report, Hanover: Dartmouth College, 1955.
[5] Brooks R A. Intelligence without representation [J]. Artificial Intelligence, 1991, 47(91): 139-159.
[6] 史忠植. 智能科学: 第3版[M]. 北京: 清华大学出版社, 2019.
[7] 崔铁军, 李莎莎. 系统故障演化过程的可拓学原理[J]. 广东工业大学学报, 2020, 37(5): 1-6.
CUI T J, LI S S. An extension theory of system fault evolution process [J]. Journal of Guangdong University of Technology, 2020, 37(5): 1-6.
[8] 崔铁军, 李莎莎. 系统运动空间与系统映射论的初步探讨[J/OL]. 智能系统学报: 1-8[2020-05-29]. http://kns.cnki.net/kcms/detail/23.1538.TP.20200323.1535.006.html.
CUI T J, LI S S. Preliminary study of system movement space and system mapping theory[J/OL]. CAAI Transactions on Intelligent Systems: 1-8[2020-05-29]. http://kns.cnki.net/kcms/detail/23.1538.TP.20200323.1535.006.html.
[9] 汪培庄. 因素空间与概念描述[J]. 软件学报, 1992(1): 30-40.
WANG P Z. Factor space and description of concepts [J]. Journal of Software, 1992(1): 30-40.
[10] LEVESON N. Moving beyond normal accidents and high reliability organizations: a systems approach to safety in complex systems [J]. Organization Studies, 2009, 30(2): 227-249.
[11] LEVESON N. A new accident model for engineering safer systems [J]. Safety Science, 2004, 42(4): 237-270.
[12] HE H C, LIU Y H, HE D Q, et al. Generalized logic in experience thinking [J]. Science in China (Series E: Technological Sciences), 1996(3): 225-234.
[13] 蔡文, 杨春燕. 可拓学的基础理论与方法体系[J]. 科学通报, 2013, 58(13): 1190-1199.
CAI W, YANG C Y. Basic theory and methodology on Extenics [J]. Chinese Science Bulletin, 2013, 58(13): 1190-1199.
[14] 冯嘉礼, 冯嘉仁, 詹增修. 以属性为基础的知识库建库原则[J]. 计算机研究与发展, 1987(11): 55-61.
FENG J L, FENG J R, ZHAN Z X. A prineiple for construeting attributive knowledge base [J]. Journal of Computer Research and Development, 1987(11): 55-61.
[15] 赵克勤. 集对分析与同异反决策[J]. 决策探索, 1992(2): 14-15.
Zhao K Q. Set pair analysis and the same, different and opposite decision [J]. Policy Research & Exploration, 1992(2): 14-15.
[1] 崔铁军, 李莎莎. 人工智能与生产过程中本质安全的实现[J]. 广东工业大学学报, 2021, 38(06): 84-90.
[2] 胡斌, 周颖慧, 陶小梅. 情感智能与心理生理计算[J]. 广东工业大学学报, 2021, 38(04): 1-8.
[3] 汪培庄, 曾繁慧, 孙慧, 李兴森, 郭建威, 孟祥福, 何静. 知识图谱的拓展及其智能拓展库[J]. 广东工业大学学报, 2021, 38(04): 9-16.
[4] 饶东宁, 杨锦鹏, 刘越畅. 时态规划综述及研究现状[J]. 广东工业大学学报, 2021, 38(03): 9-16.
[5] 邱明晋, 陈璟华, 唐俊杰. 含风电场最优潮流及其关键技术研究综述[J]. 广东工业大学学报, 2018, 35(02): 63-68,94.
[6] 黄苑虹; 梁慧冰; . 从倒立摆装置的控制策略看控制理论的发展和应用[J]. 广东工业大学学报, 2001, 18(3): 49-53.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!