Spatial Interactions in Agent-Based Modeling

Marcel Ausloos, Herbert Dawid () and Ugo Merlone ()
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Herbert Dawid: Bielefeld University
Ugo Merlone: Università di Torino

A chapter in Complexity and Geographical Economics, 2015, pp 353-377 from Springer

Abstract: 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.

Keywords: Labor Market; Agent Base Modeling; Spatial Interaction; Cohesion Policy; Real Social Network (search for similar items in EconPapers)
Date: 2015
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Working Paper: Spatial interactions in agent-based modeling (2014)
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DOI: 10.1007/978-3-319-12805-4_14

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