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2015 | OriginalPaper | Chapter

Spatial Interactions in Agent-Based Modeling

Authors : Marcel Ausloos, Herbert Dawid, Ugo Merlone

Published in: Complexity and Geographical Economics

Publisher: Springer International Publishing

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Abstract

Agent Based Modeling (ABM) has become a widespread approach to model complex interactions. In this chapter after briefly summarizing some features of ABM the different approaches in modeling spatial interactions are discussed.It is stressed that agents can interact either indirectly through a shared environment and/or directly with each other. In such an approach, higher-order variables such as commodity prices, population dynamics or even institutions, are not exogenously specified but instead are seen as the results of interactions. It is highlighted in the chapter that the understanding of patterns emerging from such spatial interaction between agents is a key problem as much as their description through analytical or simulation means.The chapter reviews different approaches for modeling agents’ behavior, taking into account either explicit spatial (lattice based) structures or networks. Some emphasis is placed on recent ABM as applied to the description of the dynamics of the geographical distribution of economic activities—out of equilibrium. The Eurace@Unibi Model, an agent-based macroeconomic model with spatial structure, is used to illustrate the potential of such an approach for spatial policy analysis.

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previous chapter Empirical Literature on Location Choice of Multinationals
Footnotes
1
One such site is usually available and can be chosen arbitrarily.
 
2
Usually the field value was kept constant in the simulations, except for the mentioned drastic change. However some generalization is of interest, looking for relaxation and memory effects.
 
3
The evolution of an economy, in which the functioning of companies is interdependent and depends on external conditions, through natural selection and somewhat random mutation is similar to bio-evolution.
 
4
It was found that many characteristic features are quite similar to the “no taxes” case, but again the differences are mostly seen in the distribution of wealth—the poor gets poorer and the rich gets more rich.
 
5
In the period from 2007 to 2013, 347 bn Euros have been spent for cohesion policies, which makes about 36 % of the total EU budged.
 
6
This project (EU IST FP6 STREP grant 035086) was carried out by a consortium lead by S. Cincotti (University of Genova), H. Dawid (University of Bielefeld), C. Deissenberg (Université de la Mediterranée), K. Erkan (TUBITAK National Research Institute of Electronics and Cryptology), M. Gallegati (Università Politecnica delle Marche), M. Holcombe (University of Sheffield), M. Marchesi (Università di Cagliari), C. Greenough (STFC—Rutherford Appleton Laboratory).
 
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Metadata
Title
Spatial Interactions in Agent-Based Modeling
Authors
Marcel Ausloos
Herbert Dawid
Ugo Merlone
Copyright Year
2015
Book
Complexity and Geographical Economics

Print ISBN: 978-3-319-12804-7

Electronic ISBN: 978-3-319-12805-4

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-12805-4_14