基于多层网络的人工智能领域跨界技术融合

Technological Convergence of Artificial Intelligence Based on Multi-level Networks

为更好制定人工智能领域发展政策,通过构建人工智能领域的技术融合网络,分析该领域技术融合机理。基于人工智能领域2010~2019年的专利数据,结合技术维度和组织维度,从技术特征、组织的技术特征、组织的关系特征3个层面进行实证研究。结果表明:人工智能领域组织合作稀疏、融合技术相对分散、组织和技术具有明显的核心-边缘结构特征;技术特征层面,相似技术更易融合,已发生融合的技术会促进新融合发生;组织的技术特征层面,组织拥有的共性技术会抑制与其他技术融合的发生;组织的关系特征层面,组织间合作关系对技术融合作用与领域发展阶段密切相关,“伙伴圈”会抑制技术融合。

In order to better formulate policies for the development of artificial intelligence,this paper analyzes the technology convergence mechanism in the field of artificial intelligence by constructing the technology convergence network model.Based on the patent data from 2010—2019 of artificial intelligence field,combined with technology and organization dimension,this paper tries to analyzes from three aspects of technical characteristics,organization technical characteristics and organization relationship characteristics.The results show that:In the field of artificial intelligence,organization cooperation is sparse,fusion technology is relatively scattered,organization and technology have obvious core-edge structure characteristics.On the level of technical characteristics,similar technologies are easier to be converged,and technologies that have already been converged will promote new convergence;On the level of organizational technical characteristics,the common technologies owned by the orgnization will negatively affect the occurrence of convergence with other technologies;On the level of organizational relationship characteristics,the effect of cooperation between organizations on technological convergence is closely related to the development stage of the field,and the"circle of buddies"inhibits technology convergence.