Agent-Based Modeling of Spatial Economic Systems: а Review

A. A. Tsyplakov
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引用次数: 1

Abstract

The paper describes the current state of agent-based modeling of geographical space and spatial economic systems. We explore reasons why this approach to modeling spatial phenomena is of particular interest. Agent-based models (ABMs) allow accounting for agents’ spatial heterogeneity, the existing structure of the space, locality of interactions between agents. A survey of approaches to introducing space into the models and examples of the existing spatial models is presented. There is a great variety of spatial ABMs, but they relate predominantly to the local and city level, rather than to the economy as a whole. Spatial ABMs at the level of large regions and countries are not yet sufficiently developed, but have good prospects in the future. With increasing availability of geodata and technological development in general the number of applications and coverage of spatial ABM will grow
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基于主体的空间经济系统建模:综述
本文介绍了基于agent的地理空间和空间经济系统建模的研究现状。我们探讨了为什么这种建模空间现象的方法特别有趣的原因。基于智能体的模型(ABMs)允许考虑智能体的空间异质性、空间的现有结构、智能体之间相互作用的局部性。概述了将空间引入模型的方法,并给出了现有空间模型的实例。空间abm种类繁多,但它们主要与地方和城市层面有关,而不是与整体经济有关。大区域和国家层面的空间反导还不够发达,但具有良好的发展前景。随着地理数据可用性的增加和技术的发展,空间反弹道导弹的应用数量和覆盖范围将会增加
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CiteScore
0.80
自引率
0.00%
发文量
14
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