人工智能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
摘要：
受最近对美国和中国在人工智能领域竞争的现状和后果的兴趣的驱使。研究中，我们分析了从Scopus收集的60年的抽象数据，以探索和量化有关AI的出版物的趋势。每个国家附属机构的主题。我们发现，两国出版物的总量在几十年中以惊人的规律增长。虽然中国最初的出版量增长速度快于美国，中国的经济增长在达到与美国持平的水平时放缓，现在两国的增长率相似。我们还看到，两国在1990年前后在主题选择上都发生了巨大的转变，并将此与对神经网络方法的兴趣激增联系起来。最后，我们看到的证据表明，在2000年至2010年期间，中国的主题选择往往落后于美国，但近几十年来，主题组合已经变得更加一致。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
