CHEN Xiaoping.Criteria of closeness and strong closeness in artificial intelligence——limits, application conditions and ethical risks of existing technologies[J].CAAI Transactions on Intelligent Systems,2020,15(1):114-120.[doi:10.11992/tis.202001001]





Criteria of closeness and strong closeness in artificial intelligence——limits, application conditions and ethical risks of existing technologies
中国科学技术大学 计算机科学与技术学院, 安徽 合肥 230026
CHEN Xiaoping
School of computer science and technology, University of Science and Technology of China, Hefei 230026, China
artificial intelligenceclosenessstrong-closenessknowledgegroundingdecision-theoretical planningreasoningdeep learning
Criteria of closeness and strong closeness in artificial intelligence (AI) are proposed in this paper. The first criterion suggests that knowledge in AI takes conceptual root in a kind of pragmatic correspondence, called consummated grounding, from a model to the scenario that the model is expected to represent. Consummated grounding is critical to advancing both development and explanation of intelligent systems. Under the condition of the second criterion, which aims at real-world applications, existing AI technology surpasses human beings in the same kind of ability, can be successfully applied to realize a lot of projects in current industries, and will not be out of control in itself. The criteria also set up a further conceptual basis for developing AI technology competent to deal with open scenarios.


[1] HOPCROFT J E, ULLMAN J D. Formal languages and their relation to automata[M]. Boston, USA: Addison-Wesley, 1969.
[2] KNUTH D E. The art of computer programming: volume 1: fundamental algorithms[M]. 3rd ed. Redwood City, USA: Addison-Wesley Professional, 1997.
[3] 陈小平. 人工智能的历史进步、目标定位和思维演化[J]. 开放时代, 2018(6): 31–48
CHEN Xiaoping. Artificial intelligence: advancement, goals and change of thinking mode[J]. Open times, 2018(6): 31–48
[4] DAVIS E. The naive physics perplex[J]. AI magazine, 1998, 19(4): 51–79.
[5] NILSSON N J. Artificial intelligence: a new synthesis[M]. 北京: 机械工业出版社, 1999.
[6] 汪芳庭. 数理逻辑[M]. 2版. 合肥: 中国科学技术大学出版社, 2010.
[7] LENAT D B, GUHA R V. Building large knowledge-based systems: representation and inference in the cyc project[M]. Reading: Addison-Wesley, 1990.
[8] DAVIS R, SHROBE H, SZOLOVITS P. What is a knowledge representation?[J]. AI magazine, 1993, 14(1): 17–33.
[9] SILVER D, SCHRITTWIESER J, SIMONYAN K, et al. Mastering the game of go without human knowledge[J]. Nature, 2017, 550(7676): 354–359.
[10] GIL Y, SELMAN B. A 20-year community roadmap for artificial intelligence research in the US[R]. Computing Community Consortium, Association for the Advancement of Artificial Intelligence, 2019. Washington, D.C., USA.
[11] KAELBLING L P, LITTMAN M L, CASSANDRA A R. Planning and acting in partially observable stochastic domains[J]. Artificial intelligence, 1998, 101(1/2): 99–134.
[12] 陈小平. 封闭性场景: 人工智能的产业化路径[J]. 文化纵横, 2020(2): 34–42
Xiaoping Chen. Closed contexts: A feasible approach to AI industrialization[J]. Beijing Cultural Review, 2020(2): 34–42
[13] ILYAS A, ENGSTROM L, ATHALYE A, et al. Query-efficient black-box adversarial examples (superceded)[J]. arxiv: 1712.07113.
[14] CHEN Xiaoping, JI Jianmin, JIANG Jiehui, et al. Developing high-level cognitive functions for service robots[C]//Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems. Toronto, Canada, 2010.
[15] CHEN Xiaoping, XIE Jiongkun, JI Jianmin, et al. Toward open knowledge enabling for human-robot interaction[J]. Journal of human-robot interaction, 2012, 1(2): 100–117.
[16] EDMONDS M, GAO Feng, LIU Hangxin, et al. A tale of two explanations: enhancing human trust by explaining robot behavior[J]. Science robotics, DOI: 10.1126/scirobotics.aay4663
[17] TURING A. Intelligent machinery (manuscript)[J]. The turing digital archive, 1948.
[18] TELLEX S, KOLLAR T, DICKERSON S, et al. understanding natural language commands for robotic navigation and mobile manipulation[C]//Proceedings of the 25th AAAI Conference on Artificial Intelligence. San Francisco, USA, 2011.
[19] KOLLAR T, SAMADI M, VELOSO M. Enabling robots to find and fetch objects by querying the web[C]//Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems. Valencia, Spain, 2012.
[20] CHEN Xiaoping, JI Jianmin, SUI Zhiqiang, et al. Handling open knowledge for service robots[C]//Proceedings of the 23rd International Joint Conference on Artificial Intelligence. Beijing, China, 2013.
[21] 陈小平. 人工智能伦理体系: 基础架构与关键问题[J]. 智能系统学报, 2019, 14(4): 605–610
CHEN Xiaoping. Ethical system of artificial intelligence: infrastructure and key issues[J]. CAAI transactions on intelligent systems, 2019, 14(4): 605–610


 LI De-yi.AI research and development in the network age[J].CAAI Transactions on Intelligent Systems,2009,4(1):1.
 ZHAO Ke-qin.The theoretical basis and basic algorithm of binary connection A+Bi and its application in AI[J].CAAI Transactions on Intelligent Systems,2008,3(1):476.
[3]徐玉如,庞永杰,甘 永,等.智能水下机器人技术展望[J].智能系统学报,2006,1(01):9.
 XU Yu-ru,PANG Yong-jie,GAN Yong,et al.AUV—state-of-the-art and prospect[J].CAAI Transactions on Intelligent Systems,2006,1(1):9.
 WANG Zhi-liang.Artificial psychology and artificial emotion[J].CAAI Transactions on Intelligent Systems,2006,1(1):38.
 ZHAO Ke-qin.The application of uncertainty systems theory of set pair analysis (SPU)in the artificial intelligence[J].CAAI Transactions on Intelligent Systems,2006,1(1):16.
[6]秦裕林,朱新民,朱 丹.Herbert Simon在最后几年里的两个研究方向[J].智能系统学报,2006,1(02):11.
 QIN Yu-lin,ZHU Xin-min,ZHU Dan.Herbert Simons two research directions in his lost years[J].CAAI Transactions on Intelligent Systems,2006,1(1):11.
[7]谷文祥,李 丽,李丹丹.规划识别的研究及其应用[J].智能系统学报,2007,2(01):1.
 GU Wen-xiang,LI Li,LI Dan-dan.Research and application of plan recognition[J].CAAI Transactions on Intelligent Systems,2007,2(1):1.
[8]杨春燕,蔡 文.可拓信息-知识-智能形式化体系研究[J].智能系统学报,2007,2(03):8.
 YANG Chun-yan,CAI Wen.A formalized system of extension information-knowledge-intelligence[J].CAAI Transactions on Intelligent Systems,2007,2(1):8.
 ZHAO Ke-qin.The application of SPAbased identicaldiscrepancycontrary system theory in artificial intelligence research[J].CAAI Transactions on Intelligent Systems,2007,2(1):20.
[10]王志良,杨 溢,杨 扬,等.一种周期时变马尔可夫室内位置预测模型[J].智能系统学报,2009,4(06):521.[doi:10.3969/j.issn.1673-4785.2009.06.009]
 WANG Zhi-liang,YANG Yi,YANG Yang,et al.A periodic time-varying Markov model for indoor location prediction[J].CAAI Transactions on Intelligent Systems,2009,4(1):521.[doi:10.3969/j.issn.1673-4785.2009.06.009]


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