现代情报2025，Vol.45Issue(6)：112-125,14.DOI:10.3969/j.issn.1008-0821.2025.06.010
人工智能政策工具组合对城市合作创新影响的仿真研究
Simulation Study on the Impact of Artificial Intelligence Policy Instrument Mixes on Urban Collaborative Innovation
摘要
Abstract
[Purpose/Significance]AI policies have a profound impact on promoting knowledge flow and stimulating collaborative innovation in cities.This study employs agent-based simulation method to analyze the investment strategies of policy instrument mix,addressing the shortcoming of existing research that focuses primarily on qualitative analysis.It is of great significance for assisting AI policy formulation,facilitating the effective use of resources,and enhancing urban collab-orative innovation.[Method/Process]This research was based on the perspective of AI policy instrument mix.Based on the automatic extraction of policy instruments,the rules were established for cooperation network connections,policy in-vestment and benefit,and cooperation willingness updates.It simulated the impact of investments in three policy instru-ments—financial support,legal regulations,and application promotion—on urban collaborative innovation.The study ex-plored the optimal policy instrument mix strategies and analyzed the dynamic changes in policy investment across different stages.[Result/Conclusion]The study finds that the combination of AI policy instruments promotes urban collaborative in-novation,with a rapid increase in the early stage and a slower growth in the later stage.Under the optimal strategy,legal regulations dominate the policy investment in the early stage,followed by financial investment,while in the later stage,the focus is mainly on the application promotion.And the density and clustering coefficient of the urban collaborative inno-vation network gradually increase,continuously giving rise to secondary nodes in addition to the leading nodes.关键词
人工智能政策/政策工具组合/城市合作创新/智能体仿真/政策信息学Key words
artificial intelligence policy/policy instrument mix/urban collaborative innovation/agent-based simu-lation/policy informetrics分类
政治法律引用本文复制引用
王凯利,郭贞呈,吴江..人工智能政策工具组合对城市合作创新影响的仿真研究[J].现代情报,2025,45(6):112-125,14.基金项目
教育部人文社会科学研究青年基金项目"复杂性科学视角下在线学习者知识交互演化机制及干预策略研究"(项目编号:24YJC880131) （项目编号:24YJC880131）
湖北省自然科学研究青年基金项目"基于时间序列的在线学习者群体投入度演化规律研究"(项目编号:2024AFB393). （项目编号:2024AFB393）
