Development of a Simulation model of the Russian Federation for Predicting Indicators in the field of Demography and Labor

IF 2.2 3区工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY

Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2022-01-01 DOI:10.18254/s207751800023565-0

O. Kuznetsova

引用次数: 0

Abstract

The article presents a description of the agent-based model being developed. It is a software product. The model imitates the characteristics and interactions within the framework of the socio-economic life of the population of the Russian Federation in its subjects. The main goal of the model is to predict more than 25 indicators in the field of demography and labor that are significant for the management of the region. This determines the relevance of the developed model and the usefulness of its implementation in the process of making public management decisions.

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开发俄罗斯联邦预测人口和劳动领域指标的模拟模型

本文描述了正在开发的基于代理的模型。它是一个软件产品。该模式在其主体中模仿了俄罗斯联邦人口社会经济生活框架内的特点和相互作用。该模型的主要目标是预测对该地区管理具有重要意义的人口和劳动力领域的25个以上指标。这决定了所开发模型的相关性及其在公共管理决策过程中实施的有用性。

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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来源期刊

Jasss-The Journal of Artificial Societies and Social Simulation SOCIAL SCIENCES, INTERDISCIPLINARY-

CiteScore

7.40

自引率

9.50%

发文量

审稿时长

21 weeks

期刊介绍： The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.