Development of a Multi-sector Bounded-Neighbourhood Model with intersectoral commodity-money interactions

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/s207751800020178-4
A. Akopov
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Abstract

The article presents an approach to the development of an extended multi-sector bounded-neighbourhood with differentiated types of resources and intersectoral commodity-money interactions with implementation in the AnyLogic simulation tools. A feature of this approach is, firstly, a high degree of sectoral disaggregation (e.g., 42 types of economic activity are considered), and secondly, the three-level architecture of the proposed multi-agent system, which includes high-tech and low-tech resources as workplaces differentiated by types of economic activity (branches of the economy), and also multiple agents-individuals: natives and migrants with their own rules of behaviour and characteristics, and agents-sectors that provide the necessary structure of employment. We study the issues of software implementation of such a multi-level system in the AnyLogic, as well as the influence of the most important parameters of the model, in particular, such as the inflow rate of new migrants, dimensionality of forming industry clusters (i.e., a number of workplaces), level of wages by branches of the economy, etc. on the employment structure and the dynamics of gross domestic product, respectively.
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考虑部门间商品货币相互作用的多部门边界邻域模型的发展
本文提出了一种开发扩展的多部门有界社区的方法,该社区具有不同类型的资源和跨部门的商品货币相互作用,并在AnyLogic仿真工具中实现。这种方法的一个特点是,首先,高度的部门分解(例如,考虑了42种类型的经济活动),其次,提议的多主体系统的三层架构,其中包括高科技和低技术资源,作为按经济活动类型(经济分支)区分的工作场所,以及多个主体-个人:本地人和移民有自己的行为规则和特点,以及代理部门——提供必要的就业结构。我们研究了AnyLogic中这种多层次系统的软件实现问题,以及模型中最重要参数的影响,特别是,如新移民的流入率,形成产业集群的维度(即许多工作场所),经济部门的工资水平等对就业结构和国内生产总值的动态影响。
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来源期刊
CiteScore
7.40
自引率
9.50%
发文量
16
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.
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