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分别以"人工智能""AI"为关键词,对中国知网CSSCI数据库和Web of Science SCI拓展期刊数据库进行检索,遴选出2008—2018年1 786、8 515篇文献作为研究样本,采用词频分析、聚类分析、时间演化分析等科学计量方法,借助CiteSpace可视化软件,综合梳理国内外人工智能领域研究的热点、发展脉络和演进历程。通过可视化图谱展示以及国外和国内对比分析,指出国内外发展差异,提出未来我国人工智能领域发展的相关建议。研究发现,国外主要围绕遗传算法、模糊粒子群优化算法等算法层面展开,而国内纯算法的研究较少;国外多将人工智能应用在金融和医疗中,国内则主要体现在教育、图书馆建设以及出版业中。未来研究应强调多学科整合,持续完善算法,加速人工智能应用落地并构建多层治理体系。
Abstract：Using the scientific measurement methods such as word frequency analysis, cluster analysis,time evolution analysis, and CiteSpace visualization software, the keywords "Artificial Intelligence" and "AI" were used to select 2008-2018 China Knowledge Network CSSCI Journal and Web of Science SCI Development Journal. The literature data comprehensively combs the hotspots, development context and evolution of international and domestic artificial intelligence research. Through visual map display and foreign and domestic comparative analysis, it points out the development differences at home and abroad, and puts forward relevant suggestions for the development of artificial intelligence in China in the future. The study found that foreign countries mainly focus on genetic algorithms, neural networks,fuzzy particle swarm optimization algorithms and other algorithms, while domestic pure algorithms are less studied; Artificial intelligence is mostly used in finance and medical treatment abroad, while in China it is mainly embodied in education, library construction and publishing industry. Future research should emphasize multi-disciplinary integration, continue to improve the algorithm, accelerate the application of artificial intelligence and build a multi-level governance system.
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基本信息:
DOI：10.19631/j.cnki.css.2019.011.009
中图分类号:G353.1;F49
引用信息:
[1]陶于祥,汪书悦,袁野.基于科学知识图谱的国内外人工智能领域研究热点、前沿与比较[J].重庆社会科学,2019,No.300(11):89-100.DOI:10.19631/j.cnki.css.2019.011.009.
基金信息:
重庆市社会科学规划项目“全球价值链背景下重庆市人工智能产业重点发展领域与政策设计”(2019YBJJ041);; 重庆市社会科学规划重点智库项目“中美贸易摩擦背景下重庆市大数据智能化产业发展应对策略研究”(2018ZDZK10)
2019-11-16
2019-11-16