A Bibliometric Review of Agent-Based Models Application in Economics

被引：0
|
作者：
Zornic, Nikola [1 ]
Markovic, Aleksandar [1 ]
Avramovic, Nebojsa [1 ]
机构：
[1] Univ Belgrade, Fac Org Sci, Jove Ilica 154, Belgrade, Serbia
来源：
CENTRAL EUROPEAN CONFERENCE ON INFORMATION AND INTELLIGENT SYSTEMS, CECIIS | 2023年
关键词：
agent-based; modeling; simulation; economics; bibliometric analysis; SIMULATION; FRAMEWORK; NEEDS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Agent-based modeling and simulation (ABMS) is a computational modeling technique that has been used in various fields of science with growing interest. In economics, ABMS has been used to model a wide range of systems, from financial markets to transportation systems. The goal of this paper is to explore the usage of agent-based modeling and simulation in economics, using bibliometric analysis techniques on data from Web of Science platform. The authors collected data on ABMS usage in economics for over five thousand papers from Clarivate Analytics Web of Science databases in terms of publishing frequency, journal bibliometric data, field of application and productivity by country for the period 2000-2022. Journals with highest productivity within this topic are The Journal of Artificial Societies and Social Simulation, Physica A-Statistical Mechanics and its Applications, and PLOS ONE.
引用
收藏
页码：447 / 453
页数：7
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