基于主体的建模:数智环境下的图书馆政策仿真研究  

Agent-Based Modeling:Library Policy Simulation in Digital Intelligence Environment

作　　者：孔繁超 刘慧[2] Kong Fanchao;Liu Hui

机构地区：[1]曲阜师范大学图书馆 [2]济宁医学院图书馆

出　　处：《图书馆学研究》2023年第7期34-40,70,共8页Research on Library Science

基　　金：国家社会科学基金项目“基于创新学习空间的高校图书馆智慧服务模式研究”(项目编号:19BTQ031)的研究成果之一。

摘　　要：传统图书馆政策研究方法已难以适应数智时代图书馆决策发展需求。现代信息技术的快速发展使得图书馆能够通过政策仿真预测和评估政策实施效果,进而提高图书馆决策的科学性和准确性。基于主体建模(ABM)的图书馆政策仿真通过主体的持续进化及不同主体之间的交流互动可以预测图书馆政策实施效果,从而更深刻地理解图书馆运行规律,帮助图书馆发现并解决复杂问题。图书馆政策仿真的实施流程主要包含领域模型构建、静态和动态概念模型构建、仿真模型构建、模型的检验与校准、仿真实验、结果分析等。政策仿真是图书馆科学决策的方法基础,也是图书馆政策研究的必然诉求和发展方向。Traditional library policy research methods have been difficult to meet the needs of library decision-making development in digital intelligence era.With the rapid development of modern information technology,libraries can predict and evaluate the effect of policy implementation through policy simulation,thus improving the scientificity and accuracy of library decision-making.The library policy simulation based on ABM can predict the implementation effect of library policy through the continuous evolution of the main body and the communication and interaction among different main bodies,so as to understand the operation law of the library more deeply,and help the library to find and solve complex problems.The implementation process of library policy simulation mainly includes domain model construction,static and dynamic conceptual model construction,simulation model construction,model verification and calibration,simulation experiment,result analysis,etc.Policy simulation is not only the methodological basis of library scientific decision-making,but also the inevitable demand and development direction of library policy research.

关 键 词：图书馆 政策仿真 基于主体的建模(ABM) 数智环境 

分 类 号：G250.7[文化科学—图书馆学]