罗晨,沈浩

• 1:清华大学新闻与传播学院
• 2:中国传媒大学新闻学院

摘要(Abstract)：

人工智能的跨学科特质吸引了不同领域的研究者对其展开探索,以社会科学领域作为考察范畴,与人工智能相关的研究多诞生于经济学、心理学、管理学、信息科学中,研究主题主要包含算法与应用、系统建构、大数据、知觉与记忆、模拟仿真,研究热点的变迁清晰展现出技术发展路径对社会科学考察的牵引,并折射出明确的应用导向与认知科学的交叉态势。通过回溯高被引文献,可发现相应研究主要遵循认知科学、知识表示和未来智能三种范式。

关键词(KeyWords)： 人工智能;文献计量;跨学科;认知科学

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 罗晨,沈浩

DOI: 10.16602/j.gmj.20180035

参考文献(References)：

• 常鹏、冯楠、马辉(2012):一种基于词共现的文档聚类算法,《计算机工程》,第38卷第2期,213-214,220页。
• 陈昌凤、石泽(2017):技术与价值的理性交往:人工智能时代信息传播---算法推荐中工具理性与价值理性的思考,《新闻战线》,第17期,71-74页。
• 丁汉青、曹璞(2015):2013年境外传媒经济研究热点与场域---基于文献计量学的方法探索,《新闻与传播研究》,第22卷第4期,61-82页。
• 丁汉青、刘念(2017):情绪识别研究的学术场域---基于CiteSpace的科学知识图谱分析,《新闻大学》,第2期,119-132页。
• 丁汉青、吴雨蔚(2017):情绪感染学术场域分析---基于CiteSpace的引文空间分析,《当代传播》,第4期,7-14,22页。
• 刘海龙(2018):传播中的身体问题与传播研究的未来,《国际新闻界》,第40卷第2期,37-46页。
• 刘军(2014):《整体网分析---UCINET软件实用指南》(2版),上海:格致出版社,上海人民出版社。
• 陆汝钤(1989):《人工智能(上)》,北京:科学出版社。
• 尼克(2017):《人工智能简史》,北京:人民邮电出版社。
• 彭兰(2016):智媒化:未来媒体浪潮---新媒体发展趋势报告(2016),《国际新闻界》,第11期,6-24页。
• 清华大学中国科技政策研究中心(2018):《中国人工智能发展报告2018》,北京:清华大学公共管理学院。
• 仇筠茜、陈昌凤(2018):黑箱:人工智能技术与新闻生产格局嬗变,《新闻界》,第1期,28-34页。
• 沈浩、黄晓兰(2013):大数据助力社会科学研究:挑战与创新,《现代传播》,第8期,13-18页。
• 苏涛、彭兰(2018):“智媒”时代的消融与重塑---2017年新媒体研究综述,《国际新闻界》,第40卷第1期,38-58页。
• 孙玮(2018):赛博人:后人类时代的媒介融合,《新闻记者》,第6期,4-11页。
• 辛伟、雷二庆、常晓、宋芸芸、苗丹民(2014):知识图谱在军事心理学研究中的应用---基于ISI Web of Science数据库的Citespace分析,《心理科学进展》,第22卷第2期,334-347页。
• 喻国明、兰美娜、李玮(2017):智能化:未来传播模式创新的核心逻辑---兼论“人工智能+媒体”的基本运作范式,《新闻与写作》,第3期,41-45页。
• 喻国明、杨莹莹、闫巧妹(2018):算法即权力:算法范式在新闻传播中的权力革命,《编辑之友》,第5期,5-12页。
• 喻国明、姚飞(2017):试论人工智能技术范式下的传媒变革与发展---一种对于传媒未来技术创新逻辑的探析,《新闻界》,第1期,39-43页。
• 张钹(2018年6月29日):走向真正的人工智能,获取自http://wemedia.ifeng.com/67351428/wemedia.shtml
• 张洪忠、石韦颖、刘力铭(2018):如何从技术逻辑认识人工智能对传媒业的影响,《新闻界》,第2期,17-22页。
• 周磊、杨威、张玉峰(2014):共现矩阵聚类分析的问题与再思考,《情报杂志》,第33卷第6期,32-37页。
• 朱亮、孟宪学(2013):文献计量法与内容分析法比较研究,《图书馆工作与研究》,第1卷第6期,64-66页。
• AMiner(2018年5月15日):人工智能之机器翻译研究报告,获取自https://www.aminer.cn/research_report/translation?h=5040
• Aparicio,F.,Botello,M.L.,Rubio,M.,Hernando,A.,Mu1oz,R.,Fernndez,H.L.&et al.Aparicio,F.,Morales-Botello,M.L.,Rubio,M.,Hernando,A.,Mu1oz,R.,López-Fernndez,H.,Glez-Pe1a,D.,Fdez-Riverola,F.,de la Villa,M.,Ma1a,M.,Gachet,D.&de Buenag,M.(2018).Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.International Journal of Medical Informatics,112,21-33.doi:10.1016/j.ijmedinf.2017.12.016
• Ascaso,A.R.,Boticario,J.G.,Finat,C.&Petrie,H.(2016).Setting accessibility preferences about learning objects within adaptive elearning systems:User experience and organizational aspects.Expert Systems,34(4),1-12.doi:10.1111/exsy.12187
• Baptista,M.,Martinho,C.R.,Lima,F.,Santos,P.A.&Prendinger,H.(2014).Improving learning in business simulations with an agent-based approach.Journal of Artificial Societies and Social Simulation,17(3).doi:10.18564/jasss.2516
• Barr,A.&Feigenbaum,E.A.(1981).The handbook of artificial intelligence(Vol.1).Stanford:HeurisTech Press.
• Beriha,G.S.,Patnaik,B.,Mahapatra,S.S.&Padhee,S.(2012).Assessment of safety performance in Indian industries using fuzzy approach.Expert Systems with Applications,39,3311-3323.doi:10.1016/j.eswa.2011.09.018
• Boden,M.A.(1991).The creative mind:Myths and mechanisms.New York:Basic Books.
• Bostrom,N.(2014).Superintelligence:Paths,dangers,strategies.Oxford:Oxford University Press.
• Brynjolfsson,E.&Mc Afee,A.(2014).The second machine age:Work,progress,and prosperity in a time of brilliant technologies.New York:W.W.Norton&Company.
• ag(il,G.&Erdem,M.B.(2012).An intelligent simulation model of online consumer behavior.Journal of Intelligent Manufacturing,23(4),1015-1022.doi:10.1007/s10845-010-0439-7
• Cavalcante,R.C.,Brasileiro,R.C.,Souza,V.L.F.,Nobrega,J.P.&Oliveira,A.L.I.(2016).Computational intelligence and financial markets:A survey and future directions.Expert Systems with Applications,55,194-211.doi:10.1016/j.eswa.2016.02.006
• Chalmers,D.J.(1995).Facing up to the problem of consciousness.Journal of Consciousness Studies,2(3).200-219.
• Chen,C.M.(2006).CiteSpace II:Detecting and visualizing emerging trends and transient patterns in scientific literature.Journal of the American Society for Information Science and Technnology,57(3),359-377.doi:10.1002/asi.20317
• Chen,C.M.(2017).Science mapping:A systematic review of the literature.Journal of Data and Information Science,2(2),1-40.doi:10.1515/jdis-2017-0006
• Chen,C.M.(2018).How to use CiteSpace.Retrieved from http://leanpub.com/howtousecitespace
• Chorafas,D.N.(1986).Applying expert systems in business.New York:McGraw-Hill.
• Computer Science and Telecommunications Board&National Research Council.(1999).Funding a revolution:Government support for computing research.Washington:National Academy Press.
• Collins,H.M.(1990).Artificial experts:Social knowledge and intelligent machines.Cambridge:MIT Press.
• Crick,C.&Scassellati,B.(2010).Controlling a robot with intention derived from motion.Topics in Cognitive Science,2(1),114-126.doi:10.1111/j.1756-8765.2009.01073.x
• Elish,M.C.&Boyd,D.(2018).Situating methods in the magic of big data and AI.Communication Monograph,85(1),57-80.doi:10.1080/03637751.2017.1375130
• Faiciuc,L.E.(2008).Are there reasons to challenge a symbolic computationalist approach in explaining deductive reasoning?Integrative Psychological and Behavior Science,42(2),212-218.doi:10.1007/s12124-007-9047-2
• Forbus,K.D.(2010).AI and cognitive science:The past and next 30 years.Topics in Cognitive Science,2(3),345-356.doi:10.1111/j.1756-8765.2010.01083.x
• Friedman,S.,Forbus,K.&Sherin,B.(2018).Representing,running,and revising mental models:A computational model.Cognitive Science,42(4),1110-1145.doi:10.1111/cogs.12574
• Fuchs,C.(2012).DallasSmythe today-The audience commodity,the digital labour debate,Marxist political economy and critical theory.Prolegomena to a digital labour theory of value.tripleC(cognition,communication,cooperation),10(2),692-740.
• Geraci,R.M.(2010).The popular appeal of apocalyptic AI.Zygon,45(4),1003-1020.doi:10.1111/j.1467-9744.2010.01146.x
• Holland,J.H.,Holyoak,K.J.,Nisbett,R.E.&Thagard,P.R.(1986).Induction:Processes of inference,learning,and discovery.Cambridge:The MIT Press.
• Hsieh,K.L.(2011).Employing a recommendation expert system based on mental accounting and artificial neural networks into mining business intelligence for study abroad's P/S recommendations.Expert Systems with Applications,38(12),14376-14381.doi:10.1016/j.eswa.2011.03.078
• Kahneman,D.(2011).Thinking,fast and slow.New York:Farrar,Straus and Giroux.
• Khatchatourov,A.,Pachet,F.&Rowe,V.(2016).Action identity in style simulation systems:Do players consider machine-generated music as of their own style?Frontiers in Psychology,7.474.doi:10.3389/fpsyg.2016.00474
• Kok,J.N.,Boers,E.J.W.,Kosters,W.A.,van der Putten,P.&Poel,M.(2002).Artificial intelligence:Definition,trends,techniques,and cases.In Kok,J.N.(Ed.),Artificial intelligence:Encyclopedia of life support systems(pp.1-20).Oxford:Eolss Publishers.
• Kuhn,T.S.(1996).The structure of scientific revolutions(3rd Ed.).Chicago:University of Chicago Press.
• Lash,S.(2007).Power after hegemony:Cultural studies in mutation?Theory,Culture&Society,24(3),55-78.doi:10.1177/0263276407075956
• Le Cun,Y.,Bengio,Y.&Hinton,G.(2015).Deep learning.Nature,521(7553),436-444.doi:10.1038/nature14539
• Lenat,D.B.&Guha,R.V.(1990).Building large knowledge-based systems:Representation and inference in the Cyc Project.Boston:Addison-Wesley.
• Martínez,M.A.,Cobo,M.J.,Herrera,M.&Herrera-Viedma,E.(2015).Analyzing the scientific evolution of social work using science mapping.Research on Social Work Practice,5(2),257-277.doi:10.1177/1049731514522101
• McCarthy,J.(November 12,2007).What is artificial intelligence?Retrieved from http://www-formal.stanford.edu/jmc/whatisai/node1.html
• McCarthy,J.,Minsky,M.L.,Rochester,N.&Shannon,C.E.(August 31,1955).A proposal for the Dartmouth summer research project on artificial intelligence.Retrieved from http://jmc.stanford.edu/articles/dartmouth/dart mouth.pdf
• Mnih,V.,Kavukcuoglu,K.,Silver,D.,Rusu,A.A.,Venes,J.,Bellemare,M.G.&et al.(2015).Human-level control through deep reinforcement learning.Nature,518(7540),529-533.doi:10.1038/nature14236
• Montero-Diz,J.,Cobo,M.J.,Gutiérrez-Salcedo,M.,Segado-Boj,F.&HerreraViedma,E.(2018).A science mapping analysis of‘Communication’Wo S subject category(1980-2013).Comunicar:Media Education Research Journal,26(55),81-91.doi:10.3916/C55-2018-08
• Newell,A.(1990).Unified theories of cognition.Cambridge:Harvard University Press.
• Noyons,E.C.M.,Moed,H.F.&Luwel,M.(1999).Combining mapping and citation analysis for evaluative bibliometric purposes:A bibliometric study.Journal of the American Society for Information Science,50(2),115-131.
• Peng,T.Q.,Zhang,L.,Zhong,Z.J.&Zhu,J.J.(2013).Mapping the landscape of Internet studies:Text mining of social science journal articles 2000-2009.New Media&Society,15(5),644-664.doi:10.1177/1461444812462846
• Reese,H.(March 10,2016).Is‘data labeling’the new blue-collar job of the AI era?TechRepublic.Retrieved from https://www.techrepublic.com/article/is-datalabeling-the-new-blue-collar-job-of-the-ai-era/
• Roth,F.H.,Waterman,D.A.&Lenat,D.B.(1983).Building expert systems.Boston:Addison-Wesley.
• Rumelhart,D.E.,McClelland,J.L.,&PDP Research Group.(1986).Parallel distributed processing:Explorations in the microstructure of cognition.Cambridge:MIT Press.
• Silver,D.,Huang,A.,Maddison,C.J.,Guez,A.,Sifre,L.,van den Driessche,G.,Schrittwieser,J.,Antonoglou,I.,Panneershelvam,V.,Lanctot,M.,Dieleman,S.,Grewe,D.,Nham,J.,Kalchbrenner,N.,Sutskever,I.,Lillicrap,T.,Leach,M.,Kavukcuoglu,K.,Graepel,T.&Hassabis,D.(2016).Mastering the game of Go with deep neural networks and tree search.Nature,529(7587),484-489.doi:10.1038/nature16961
• Smythe,D.W.(1994).After bicycles?What?In Gubeck,T.(Ed.),Counterclockwise:Perspectives on Communication(pp.230-244).Boulder:Westview Press.
• Streeter,T.(2011).The net effect:Romanticism,capitalism,and the Internet.New York and London:New York University Press.
• Sü,H.M.&Kretzschmar,A.(2018).Impact of cognitive abilities and prior knowledge on complex problem solving performance:Empirical results and a plea for ecologically valid microworlds.Frontiers in Psychology,9,626.doi:10.3389/fpsyg.2018.00626
• Tamatea,L.(2010).Online Buddhist and Christian responses to artificial intelligence.Zygon,45(4),979-1002.doi:10.1111/j.1467-9744.2010.01145.x
• Taylor,R.D.(2017).The next stage of U.S.communications policy:The emerging embedded infosphere.Telecommunications Policy,41(10),1039-1055.doi:10.1016/j.telpol.2016.11.007
• Tse,J.,Schrader,D.E.,Ghosh,D.,Liao,T.&Lundie,D.(2015).A bibliometric analysis of privacy and ethics in IEEE Security and Privacy.Ethics and Information Technology,17(2),153-163.doi:10.1007/s10676-015-9369-6
• Wallach,W.(2010).Robot minds and human ethics:The need for a comprehensive model of moral decision making.Ethics and Information Technology,12(3),243-250.doi:10.1007/s10676-010-9232-8
• Wu,J.&Yun,G.(2018).From modernization to neoliberalism?How IT opinion leaders imagine the information society.the International Communication Gazette,80(1),7-29.doi:10.1177/1748048517742773
• Yang,C.S.,Wei,C.P.,Yuan,C.C.&Schoung,J.Y.(2010).Predicting the length of hospital stay of burn patients:Comparisons of prediction accuracy among different clinical stages.Decision Support Systems,50(1),325-335.doi:10.1016/j.dss.2010.09.001
• Yeh,C.H.&Yang,C.Y.(2010).Examining the effectiveness of price limits in an artificial stock market.Journal of Economic Dynamics and Control,34(10),2089-2108.doi:10.1016/j.jedc.2010.05.015
• Zhang,T.,Ramakrishnan,R.&Livny,M.(1996).Birch:An efficient data clustering method for very large databases.ACM SIGMOD Rec,25(2),103-114.
• Zhao,Y.(2007).After mobile phones,What?Re-embedding the social in China's“Digital Revolution”.International Journal of Communication,1,92-120.doi:1932-8036/20070092
• Zhu,Q.,Wu,Y.Q.,Li,Y.Z.,Han,J.&Zhou,X.Y.(2018).Text mining based theme logic structure identification:Application in library journals.Library Hi Tech,36(3),411-425.doi:10.1108/LHT-10-2017-0211
• (1)本研究未选择“AI”作为主题检索词的原因在于“AI”具有多义指代,譬如:American Indian(美洲印第安人)、Alcohol-Interactive(酒精相互作用)等,而且关于人工智能的研究,在给出简称(AI)的同时也会标注全称(artificial intelligence)。为消除指代歧义、提升研究信度,仅选择“artificial intelligence”作为主题检索词。
• (2)Wo S核心合集收录了1975年至今的文献数据,因此检索文献的时间起点为1975年。
• (3)Wo S核心合集的字段标识说明,获取自https://images. webofknowledge. com/WOK50B6/help/zh_CN/WOK/hs_wos_fieldtags. html
• (4)根据Wo S的界定,“社会科学其他主题”包括:跨学科研究(Interdisciplinary)、伦理学研究(Ethics)、社会科学史研究(History of Social Sciences)等。