| AI领域基础科学网络对技术创新网络影响研究 |
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| 引用本文： | 朱桂龙,李兴耀.AI领域基础科学网络对技术创新网络影响研究[J].科学学研究,2019,37(3):517-525. |
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| 作者姓名： | 朱桂龙 李兴耀 |
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| 作者单位： | 华南理工大学工商管理学院 |
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| 基金项目： | 广东省自然科学基金研究团队项目;创新驱动发展战略的顶层设计与战略重点研究;国家自然科学基金重点项目 |
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| 摘 要： | 随着人类科技创新能力的不断提升，基础科学对技术创新的推动作用也愈发显现。本文围绕人工智能科学与技术发展，基于WOS数据库，以及USPTO数据库，构建了人工智能基础科学合作网络和专利技术合作网络，系统分析了人工智能科学与技术全球区域发展格局，以及其他多样性网络特征，探讨了人工智能基础科学网络与专利技术网络的相互影响。研究显示，无论是科学还是技术，美国依然是世界第一；中国在论文发表上占优，但技术创新较弱，而印度则技术转化能力强；英、法和意大利等在人工智能技术创新上失去了领先优势。模型研究发现，基础科学网络中心性程度高的国家对技术创新有显著帮助，而科学网络结构洞和聚集系数对技术创新没有显著影响。
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| 关 键 词： | 创新网络 人工智能 科学与技术 |
| 收稿时间： | 2018-05-28 |
Research on the influence of basic science network on technological innovation network in AI field |
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| Abstract: | With the continuous improvement of human scientific and technological innovation capabilities, the promotion of basic science on technological innovation has become increasingly apparent. The paper revolves around the development of artificial intelligence science and technology, based on the WOS database, and the USPTO database to construct an artificial intelligence basic scientific cooperation network and a patented technology cooperation network, systematically analyzing the global regional development pattern of artificial intelligence science and technology, and The characteristics of other diversified networks explored the interaction between the basic science network of artificial intelligence and technology networks. Research shows that the United States is still the world's No matter it is science or technology; China is dominant in the publication of papers, but technological innovation is weaker, while India has strong technological transformation capabilities; the UK, France and Italy are in the artificial intelligence technology innovation Lost lead. The model study finds that countries with a high degree of centrality in basic science networks have a significant contribution to technological innovation, while scientific network structure holes and agglomeration coefficients have no significant effect on technological innovation. |
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