社会科学领域的人工智能研究:基于SSCI文献的探索

被引：6

作者：

罗晨 ^{[1
]}

沈浩 ^{[2
]}

机构：

[1] 清华大学新闻与传播学院

[2] 中国传媒大学新闻学院

来源：

全球传媒学刊 | 2018年 / 5卷 / 04期

关键词：

人工智能; 文献计量; 跨学科; 认知科学;

D O I：

10.16602/j.gmj.20180035

中图分类号：

TP18 [人工智能理论]; G353.1 [情报资料的分析和研究];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ; 1205 ;

摘要：

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。

引用

页码：43 / 64

页数：22

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