论文标题
A.I.的定量历史美国和中国的研究
A Quantitative History of A.I. Research in the United States and China
论文作者
论文摘要
由于最近对美国和中国之间竞争的地位和后果的兴趣和后果的兴趣。研究，我们分析了从Scopus刮除的60年的抽象数据，以探索和量化AI的出版物的趋势。来自每个国家的机构的主题。我们发现两国生产的出版物总数在数十年中都具有显着的规律性增长。尽管中国最初的出版量增长速度比美国的增长快，但中国与美国均等时的增长放缓，而两国的增长率现在相似。我们还看到，两国在1990年左右都经历了主题选择的地震转变，并将其与对神经网络方法的兴趣相关联。最后，我们看到的证据表明，在2000年至2010年之间，中国的主题选择倾向于落后于美国的主题选择，但近几十年来，主题组合已经越来越紧密。
Motivated by recent interest in the status and consequences of competition between the U.S. and China in A.I. research, we analyze 60 years of abstract data scraped from Scopus to explore and quantify trends in publications on A.I. topics from institutions affiliated with each country. We find the total volume of publications produced in both countries grows with a remarkable regularity over tens of years. While China initially experienced faster growth in publication volume than the U.S., growth slowed in China when it reached parity with the U.S. and the growth rates of both countries are now similar. We also see both countries undergo a seismic shift in topic choice around 1990, and connect this to an explosion of interest in neural network methods. Finally, we see evidence that between 2000 and 2010, China's topic choice tended to lag that of the U.S. but that in recent decades the topic portfolios have come into closer alignment.
