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SIMPOP: a multiagent system for the study of urbanism

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Listed:
  • L Sanders
  • D Pumain
  • H Mathian
  • F Guérin-Pace
  • S Bura

Abstract

SIMPOP is a knowledge-based simulation system for the description of the evolution of settlement patterns over long time periods. Rules and parameters are introduced into a multiagent systems formalism where each settlement is considered as a separate entity interacting with the others and transforming itself. The rules may allow for the simulation of the 'urban transition' from a set of homogeneous, agriculture-oriented, and scattered villages into a complex system of functionally diverse, competing, and hierarchised urban settlements. In this paper we show how several modifications of rules and parameters alter further the spatial and hierarchical structure of the simulated urban system.

Suggested Citation

  • L Sanders & D Pumain & H Mathian & F Guérin-Pace & S Bura, 1997. "SIMPOP: a multiagent system for the study of urbanism," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 24(2), pages 287-305, March.
  • Handle: RePEc:pio:envirb:v:24:y:1997:i:2:p:287-305
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    Cited by:

    1. Romain Reuillon & Clara Schmitt & Ricardo De Aldama & Jean-Baptiste Mouret, 2015. "A New Method to Evaluate Simulation Models: The Calibration Profile (CP) Algorithm," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-12.
    2. repec:eee:ecomod:v:363:y:2017:i:c:p:31-47 is not listed on IDEAS
    3. Claes Andersson & Koen Frenken & Alexander Hellervik, 2006. "A complex network approach to urban growth," Environment and Planning A, Pion Ltd, London, vol. 38(10), pages 1941-1964, October.
    4. Arthur Huang & David Levinson, 2011. "Why retailers cluster: an agent model of location choice on supply chains," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 38(1), pages 82-94, January.
    5. Lena SANDERS, 2012. "Regards Scientifiques Croisés Sur La Hiérarchie Des Systèmes De Peuplement : De L’Empirie Aux Systèmes Complexes," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 36, pages 127-146.

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