情报科学 ›› 2023, Vol. 41 ›› Issue (11): 141-150.

• 业务研究 • 上一篇    下一篇

面向政府激励场景的科技情报交互演化博弈与仿真研究

  

  • 出版日期:2024-02-29 发布日期:2024-03-01

  • Online:2024-02-29 Published:2024-03-01

摘要:

【目的/意义】科技情报事业对促进科技发展,建设科技强国具有重要作用。对科技情报机构与科技情报用
户之间的交互过程进行研究,了解其演化规律,能为今后促进科技情报工作的良性发展提供理论依据。【方法/过
程】本文以博弈论为理论基础,以科技情报机构和科技情报用户为演化博弈主体,构建政府激励下的科技情报交互
演化博弈模型,计算得到该模型的演化收益矩阵和复制动态方程,分析了该模型的局部稳定性,并进行仿真模拟以
验证理论分析的正确性。【结果/结论】研究结果表明用户参与科技情报交互的成本和机构优化付出的额外成本对
科技情报交互有消极作用,而机构不优化时用户获得的收益和机构不优化承担的损失则有促进作用,政府激励对
机构选择优化策略有积极作用。最后,从科技情报机构、科技情报用户、政府激励三个方面提出科学的建议。【创
新/局限】本文构建了政府激励视角下科技情报交互的演化博弈模型,鉴于科技情报交互是一个复杂的过程,今后
的研究需要考虑更多因素的相互作用。

Abstract:

【Purpose/significance】Scientific and technological information plays an important role in promoting scientific and techno⁃
logical development and building a scientific and technological power. Studying the interaction process between scientific and techno⁃logical information institutions and users and understanding its evolution law can provide a theoretical basis for promoting the benign development of scientific and technological information in the future.【Method/process】Based on the game theory, this paper con⁃structs the evolutionary game model of scientific and technological information interaction under the government incentives, with scien⁃tific and technological information institutions and users as the main body of the evolutionary game. The evolutionary income matrix and replication dynamic equation of the model are obtained by calculation, the local stability of the model is analyzed, and the simula⁃tion is carried out to verify the correctness of the theoretical analysis.【Result/conclusion】 The results show that the cost of users' par⁃ticipation in scientific and technological information interaction and the additional cost paid by institutional optimization have a nega⁃tive effect on scientific and technological information interaction, while the benefits obtained by users and the losses borne by institu⁃tions without optimization can promote, and the government incentive has a positive effect on institutions' selection of optimization strategies. Finally, it puts forward scientific suggestions from three aspects: scientific and technological information institutions, scien⁃tific and technological information users and government incentives.【Innovation/limitation】This paper constructs an evolutionary game model of science and technology information interaction from the perspective of government incentives, but science and technol⁃ogy information interaction is a complex process, and more factors need to be considered in future research.