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Modeling Housing Market Dynamics Using a Multi-agent Simulation of Participants’ Cognitive Behavior

  • Maryam Esmaeili
  • Alberto Vancheri
  • Paolo Giordano
Chapter

Abstract

In this work, the housing market is modeled as an adaptive complex system using the multi-agent based modeling approach. By modeling the behavior of the agents who participate in the housing market, study will be made of the dynamics and evolution of housing markets in Lugano and surrounding towns, and the related segregation effects due to different ethnic compositions of neighborhoods. The paper explains the approach we have used in order to model the individual behavior of agents (buyers and sellers), as well as to handle the uncertainty and vagueness of agents’ behaviors, beliefs and decision-making by means of fuzzy type-2 systems. Using type-2 fuzzy rule based systems; we have designed and implemented individual agents with personal behavior and decision-making processes. We present some of the results obtained using the approach proposed.

Keywords

Membership Function Housing Market Linguistic Term Real Estate Market Adaptive Complex System 
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

  • Maryam Esmaeili
    • 1
    • 2
  • Alberto Vancheri
    • 1
    • 2
  • Paolo Giordano
    • 1
    • 2
  1. 1.Accademia di ArchitetturaUniversità della Svizzera ItalianaMendrisioSwitzerland
  2. 2.University of LuganoLuganoSwitzerland

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