The Digital Twin (Artificial Society) of the Socio-Economic System of Russia is a Platform for Experiments in the Field of Managing Demographic Processes

V. Makarov, R. Nigmatulin, N. Ilyin, A. Bakhtizin, E. Sushko, M. Y. Sidorenko
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引用次数: 4

Abstract

One of the most promising tools for monitoring and predicting social processes are agent-based models, which are widely used abroad. Their advantage lies in the consideration of the system under study at the level of its individual individuals, which increases the realism of these computer-based assessment methods. In Russia, this direction is also developing, although not so actively. The article discusses the dynamics of the population of Russia, as well as the factors of increasing the birth rate, successful examples of the practical implementation of agent models for studying social processes, a brief description of the model we developed, which includes 146 million agents, is given. With the help of this tool, a forecast of the population of Russia and an assessment of the impact on this indicator of some measures aimed at improving the demographic situation were obtained.
俄罗斯社会经济系统的数字孪生(人工社会)是管理人口过程领域的实验平台
基于主体的模型是监测和预测社会过程最有前途的工具之一,在国外得到了广泛的应用。它们的优势在于在个体层面上考虑所研究的系统,这增加了这些基于计算机的评估方法的现实性。在俄罗斯,这一方向也在发展,尽管不那么积极。本文讨论了俄罗斯人口的动态,以及提高出生率的因素,研究社会过程的智能体模型的实际实施的成功例子,简要描述了我们开发的模型,其中包括1.46亿个智能体。在这个工具的帮助下,对俄罗斯人口进行了预测,并评估了旨在改善人口状况的一些措施对这一指标的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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