绘制人工智能、机器人和物联网20年（1998-2017）的共同进化图
Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)
摘要：
了解科学和技术（S&T）领域的出现，共同进化和融合为研究人员，管理人员，政策制定者和其他人提供了竞争情报。由此产生的数据驱动的决策支持有助于确定适当的研发（R&D）优先事项;制定未来的科技投资战略;监控主要作者，组织或国家;进行有效的研究计划评估;并实施尖端的教育/培训工作。本文介绍了通过专家调查验证的新的资金，出版物和学术网络指标和可视化。这些指标和可视化展示了过去20年（1998-2017）中三个战略利益领域的出现和融合：人工智能（AI），机器人技术和物联网（IoT）。对于32，716篇出版物和4，497个NSF奖项，我们确定了它们的概念空间（使用UCSD科学地图），地理空间网络和共同进化景观。研究结果表明，知识的转变（通过跨学科出版物和引用）和新概念的出现（通过术语爆发）如何为跨学科研究和新学科创造了切实的潜力。
英文摘要：
Understanding the emergence, co-evolution, and convergence of science and technology (S&T) areas offers competitive intelligence for researchers, managers, policy makers, and others. The resulting data-driven decision support helps set proper research and development (R&D) priorities; develop future S&T investment strategies; monitor key authors, organizations, or countries; perform effective research program assessment; and implement cutting-edge education/training efforts. This paper presents new funding, publication, and scholarly network metrics and visualizations that were validated via expert surveys. The metrics and visualizations exemplify the emergence and convergence of three areas of strategic interest: artificial intelligence (AI), robotics, and internet of things (IoT) over the last 20 years (1998-2017). For 32,716 publications and 4,497 NSF awards, we identify their conceptual space (using the UCSD map of science), geospatial network, and co-evolution landscape. The findings demonstrate how the transition of knowledge (through cross-discipline publications and citations) and the emergence of new concepts (through term bursting) create a tangible potential for interdisciplinary research and new disciplines.
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。
