Cognition and Decision in Multi-agent Modeling of Spatial Entities at Different Geographical Scales

The modeling of the dynamics of settlement systems can be developed at different geographical scales according to the theoretical framework which is chosen: the micro-level of the households and entrepreneurs, the meso-level of cities and regions, the macro-level of hierarchical and spatial structures. The underlying hypotheses and the links between these three levels are discussed in the case of a multi-agent system (MAS) approach. The question of which are the driving forces of change in a settlement system is raised. Then different ways for building hybrid models combining dynamics referring to different scales are discussed. I refer to the example of SimPop, a MAS model which simulates the emergence and the evolution of a settlement system on a period of 2000 years, in order to illustrate how a function of urban governance that ensures both cognitive and decisional capacities for the evolution of cities can be introduced in a model whose rules are principally built on meso-level regularities.

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