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Agent-Based Verification of Von Thünen's Location Theory

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Abstract

The spatial pattern as described by von Thünen is considered an optimal solution to maximize society's well-being in a hypothetical environment. We developed a model to demonstrate whether a collection of autonomous individuals can contribute to the formation of this optimal pattern, without any system-level optimization capabilities. We also analyzed the mechanism that leads to an emergent spatial optimization by applying theories of positive feedbacks and lock-in.

Suggested Citation

  • Yuya Sasaki & Paul Box, 2003. "Agent-Based Verification of Von Thünen's Location Theory," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-9.
  • Handle: RePEc:jas:jasssj:2002-24-2
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    File URL: http://jasss.soc.surrey.ac.uk/6/2/9.html
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    References listed on IDEAS

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    1. Farley, Arthur M. & Lin, Kuan-Pin, 1990. "Qualitative reasoning in economics," Journal of Economic Dynamics and Control, Elsevier, vol. 14(2), pages 465-490, May.
    2. Dowlatabadi, Hadi & Morgan, M. Granger, 1993. "A model framework for integrated studies of the climate problem," Energy Policy, Elsevier, vol. 21(3), pages 209-221, March.
    3. Lane, David A, 1993. "Artificial Worlds and Economics, Part II," Journal of Evolutionary Economics, Springer, pages 177-197.
    4. Lane, David A, 1993. "Artificial Worlds and Economics, Part I," Journal of Evolutionary Economics, Springer, pages 89-107.
    5. Hope, Chris & Anderson, John & Wenman, Paul, 1993. "Policy analysis of the greenhouse effect : An application of the PAGE model," Energy Policy, Elsevier, vol. 21(3), pages 327-338, March.
    6. Marian Leimbach, 1996. "Development of a Fuzzy optimization model, supporting global warming decision-making," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, pages 163-192.
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    Cited by:

    1. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, pages 1-3.

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