Agent-Based Modeling of Spatial Economic Systems

А Review

Bibliographic Data

ID12998162
AuthorsAlexander Tsyplakov (0000-0002-9297-3269, Novosibirsk State University, corresponding author)
Year2021
Volume14
Issue12
Pages1910-1919
Publication date2021-12-01
Open AccessYes
TypeARTICLE
VenueJournal of Siberian Federal University Humanities & Social Sciences (JOURNAL)
Journal identifiersISSN: 1997-1370 • E-ISSN: 2313-6014
PublisherSiberian Federal University (PUBLISHER • RU)
DOI10.17516/1997-1370-0869
OpenAlexW4213264554
LanguageEN
References cited15

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

Agent-based model · Data science · Geography · Locality · Remote sensing · Spatial analysis · Variety (cybernetics · Computer Science · Regional Economics and Spatial Analysis · Regional Socio-Economic Development Trends · Artificial Intelligence

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