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Employing Agents to Develop Integrated Urban Models: Numerical Results from Residential Mobility Experiments

  • Oswald Devisch
  • Theo Arentze
  • Aloys Borgers
  • Harry Timmermans
Chapter

Abstract

Multi-Agent systems are a powerful technique to analyse spatially distributed systems of heterogeneous autonomous actors with bounded information and computing capacity who interact locally. A review of recent urban models relying on multi-agent technology learns however that these models at best only start to explore this potential. In this paper, we present a model, simulating the process of residential mobility, fully exploiting the agent-potential, integrating behavioural concepts such as joint-decisions making, bounded rationality, pro-active reasoning, cognitive mapping, etc. We will discuss the conceptual framework, analyse some numerical results and make suggestions as to how to validate such an ‘artificial-society’ model.

Keywords

Unify Modelling Language Rational Student Residential Mobility Activity Diagram Decision Table 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Oswald Devisch
    • 1
  • Theo Arentze
    • 1
  • Aloys Borgers
    • 1
  • Harry Timmermans
    • 1
  1. 1.Urban Planning Group, Department of Architecture, Building and PlanningEindhoven University of TechnologyEindhovenThe Netherlands

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