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Behavior-driven agent-based models of spatial systems

Author

Listed:
  • Xinyue Ye

    (Kent State University)

  • Yuri Mansury

    (Illinois Institute of Technology)

Abstract

Human behavior can produce complex patterns in spatial systems made up of large numbers of interacting individuals. An inquiry into the nature of spatial patterns is therefore incomplete without an understanding of the human behavior that gives rise to these patterns (Xie et al. in Ann Assoc Am Geogr 97(3):477–495, 2007). The treatment of pattern formation in space with interacting individuals, however, is tremendously difficult using purely mathematical abstractions. This special issue is an effort to promote new behavioral approaches to the class of computational platforms known as agent-based models.

Suggested Citation

  • Xinyue Ye & Yuri Mansury, 2016. "Behavior-driven agent-based models of spatial systems," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 57(2), pages 271-274, November.
    • Handle: RePEc:spr:anresc:v:57:y:2016:i:2:d:10.1007_s00168-016-0792-3
    DOI: 10.1007/s00168-016-0792-3
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    References listed on IDEAS

    as
    1. Mansury, Yuri & Gulyas, Laszlo, 2007. "The emergence of Zipf's Law in a system of cities: An agent-based simulation approach," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2438-2460, July.
    2. Sergio Rey, 2009. "Show me the code: spatial analysis and open source," Journal of Geographical Systems, Springer, vol. 11(2), pages 191-207, June.
    3. Sergio J. Rey & Xinyue Ye, 2010. "Comparative Spatial Dynamics of Regional Systems," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 441-463, Springer.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles

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