·120· 智能系统学报 第15卷 参考文献： Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems.Toronto, [1]HOPCROFT J E.ULLMAN J D.Formal languages and Canada,2010. their relation to automata[M].Boston,USA:Addison-Wes- [15]CHEN Xiaoping,XIE Jiongkun,JI Jianmin,et al.To- ley,1969 ward open knowledge enabling for human-robot interac- [2]KNUTH D E.The art of computer programming:volume tion[J].Journal of human-robot interaction,2012,1(2): 1:fundamental algorithms[M].3rd ed.Redwood City, 100-117. USA:Addison-Wesley Professional,1997. [16]EDMONDS M,GAO Feng,LIU Hangxin,et al.A tale of [3]陈小平.人工智能的历史进步、目标定位和思维演化) two explanations:enhancing human trust by explaining 开放时代，2018(6)：31-48. robot behavior[J].Science robotics,DOI:10.1126/sciro- CHEN Xiaoping.Artificial intelligence:advancement, botics.aay4663 goals and change of thinking mode[J].Open times, [17]TURING A.Intelligent machinery (manuscript)[J].The 2018(6):31-48. turing digital archive,1948. [4]DAVIS E.The naive physics perplex[J].AI magazine, [18]TELLEX S,KOLLAR T,DICKERSON S,et al.under- 1998.19(4):51-79. standing natural language commands for robotic naviga- [5]NILSSON N J.Artificial intelligence:a new synthesis[M]. tion and mobile manipulation[C]//Proceedings of the 25th 北京：机械工业出版社，1999. AAAI Conference on Artificial Intelligence.San Fran- [6]汪芳庭.数理逻辑[M.2版.合肥：中国科学技术大学出 cisco,USA,2011. 版社，2010. [19]KOLLAR T,SAMADI M,VELOSO M.Enabling robots [7]LENAT D B,GUHA R V.Building large knowledge- to find and fetch objects by querying the web[C]//Pro- based systems:representation and inference in the cyc ceedings of the I1th International Conference on project[M].Reading:Addison-Wesley,1990. Autonomous Agents and Multiagent Systems.Valencia, [8]DAVIS R,SHROBE H.SZOLOVITS P.What is a know- Spain,2012 ledge representation?[J].AI magazine,1993,14(1):17-33. [20]CHEN Xiaoping,JI Jianmin,SUI Zhiqiang,et al.Hand- [9]SILVER D,SCHRITTWIESER J,SIMONYAN K,et al. ling open knowledge for service robots[C]//Proceedings Mastering the game of go without human knowledge[J]. of the 23rd International Joint Conference on Artificial In- Nature,2017,550(7676):354-359. telligence.Beijing,China,2013. [10]GIL Y.SELMAN B.A 20-year community roadmap for [21]陈小平.人工智能伦理体系：基础架构与关键问题. artificial intelligence research in the US[R].Computing 智能系统学报，2019,14(4)：605-610. Community Consortium,Association for the Advance- CHEN Xiaoping.Ethical system of artificial intelligence: ment of Artificial Intelligence,2019.Washington,D.C., infrastructure and key issues[J].CAAI transactions on in- USA. telligent systems,2019,14(4):605-610 [11]KAELBLING L P,LITTMAN ML,CASSANDRA A R. 作者简介： Planning and acting in partially observable stochastic do- 陈小平，教授，中国人工智能学会 mains[J].Artificial intelligence,1998,101(1/2):99-134. 人工智能伦理道德专委会主任，主要 [12]陈小平.封闭性场景：人工智能的产业化路径)文化 研究方向为人工智能理论基础和智能 纵横，2020(2)：34-42. 机器人关键技术。提出基于“开放知 Xiaoping Chen.Closed contexts:A feasible approach to 识”的机器人智能技术路线，并在“可 AI industrialization[J].Beijing Cultural Review,2020(2): 佳”和“佳佳”智能机器人系统中进行 34-42. 了持续性研究和工程实现。团队自主 [13]ILYAS A,ENGSTROM L,ATHALYE A,et al.Query- 研发的“可佳”机器人2015年获国际服务机器人精确测试第 一名，2014年获国际服务机器人标准测试第一名，2013年获 efficient black-box adversarial examples(superceded)[J]. 第23届世界人工智能联合大会最佳自主机器人奖和通用机 axiv:1712.07113 器人技能奖。2005年以来团队在机器人世界杯上先后获得 [14]CHEN Xiaoping,JI Jianmin,JIANG Jiehui,et al.Devel- 12项世界冠军。多次获得国际学术会议最佳论文奖。获 oping high-level cognitive functions for service robots[Cl// 2010年度中科大“杰出研究”校长奖。参考文献： HOPCROFT J E, ULLMAN J D. Formal languages and their relation to automata[M]. Boston, USA: Addison-Wes￾ley, 1969. [1] KNUTH D E. The art of computer programming: volume 1: fundamental algorithms[M]. 3rd ed. Redwood City, USA: Addison-Wesley Professional, 1997. [2] 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. [3] DAVIS E. The naive physics perplex[J]. AI magazine, 1998, 19(4): 51–79. [4] NILSSON N J. Artificial intelligence: a new synthesis[M]. 北京: 机械工业出版社, 1999. [5] 汪芳庭. 数理逻辑 [M]. 2 版. 合肥: 中国科学技术大学出 版社, 2010. [6] LENAT D B, GUHA R V. Building large knowledge￾based systems: representation and inference in the cyc project[M]. Reading: Addison-Wesley, 1990. [7] DAVIS R, SHROBE H, SZOLOVITS P. What is a know￾ledge representation?[J]. AI magazine, 1993, 14(1): 17–33. [8] SILVER D, SCHRITTWIESER J, SIMONYAN K, et al. Mastering the game of go without human knowledge[J]. Nature, 2017, 550(7676): 354–359. [9] GIL Y, SELMAN B. A 20-year community roadmap for artificial intelligence research in the US[R]. Computing Community Consortium, Association for the Advance￾ment of Artificial Intelligence, 2019. Washington, D.C., USA. [10] KAELBLING L P, LITTMAN M L, CASSANDRA A R. Planning and acting in partially observable stochastic do￾mains[J]. Artificial intelligence, 1998, 101(1/2): 99–134. [11] 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. [12] ILYAS A, ENGSTROM L, ATHALYE A, et al. Query￾efficient black-box adversarial examples (superceded)[J]. arxiv: 1712.07113. [13] CHEN Xiaoping, JI Jianmin, JIANG Jiehui, et al. Devel￾oping high-level cognitive functions for service robots[C]// [14] Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems. Toronto, Canada, 2010. CHEN Xiaoping, XIE Jiongkun, JI Jianmin, et al. To￾ward open knowledge enabling for human-robot interac￾tion[J]. Journal of human-robot interaction, 2012, 1(2): 100–117. [15] 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/sciro￾botics.aay4663 [16] TURING A. Intelligent machinery (manuscript)[J]. The turing digital archive, 1948. [17] TELLEX S, KOLLAR T, DICKERSON S, et al. under￾standing natural language commands for robotic naviga￾tion and mobile manipulation[C]//Proceedings of the 25th AAAI Conference on Artificial Intelligence. San Fran￾cisco, USA, 2011. [18] KOLLAR T, SAMADI M, VELOSO M. Enabling robots to find and fetch objects by querying the web[C]//Pro￾ceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems. Valencia, Spain, 2012. [19] CHEN Xiaoping, JI Jianmin, SUI Zhiqiang, et al. Hand￾ling open knowledge for service robots[C]//Proceedings of the 23rd International Joint Conference on Artificial In￾telligence. Beijing, China, 2013. [20] 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 in￾telligent systems, 2019, 14(4): 605–610. [21] 作者简介： 陈小平，教授，中国人工智能学会 人工智能伦理道德专委会主任，主要 研究方向为人工智能理论基础和智能 机器人关键技术。提出基于“开放知 识”的机器人智能技术路线，并在“可 佳”和“佳佳”智能机器人系统中进行 了持续性研究和工程实现。团队自主 研发的“可佳”机器人 2015 年获国际服务机器人精确测试第 一名，2014 年获国际服务机器人标准测试第一名，2013 年获 第 23 届世界人工智能联合大会最佳自主机器人奖和通用机 器人技能奖。2005 年以来团队在机器人世界杯上先后获得 12 项世界冠军。多次获得国际学术会议最佳论文奖。获 2010 年度中科大“杰出研究”校长奖。 ·120· 智 能 系 统 学 报 第 15 卷