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Understanding Artificial Anasazi

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Abstract

A replication and analysis of the Artificial Anasazi model is presented. It is shown that the success of replicating historical data is based on two parameters that adjust the carrying capacity of the Long House Valley. Compared to population estimates equal to the carrying capacity the specific agent behavior contributes only a modest improvement of the model to fit the archaeological records.

Suggested Citation

  • Marco A. Janssen, 2009. "Understanding Artificial Anasazi," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(4), pages 1-13.
  • Handle: RePEc:jas:jasssj:2009-50-2
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    File URL: http://jasss.soc.surrey.ac.uk/12/4/13/13.pdf
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    References listed on IDEAS

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    1. Bruce Edmonds & David Hales, 2003. "Replication, Replication and Replication: Some Hard Lessons from Model Alignmen," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(4), pages 1-11.
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    Cited by:

    1. Flaminio Squazzoni, 2010. "The impact of agent-based models in the social sciences after 15 years of incursions," History of Economic Ideas, Fabrizio Serra Editore, Pisa - Roma, vol. 18(2), pages 197-234.
    2. James D. A. Millington & John Wainwright, 2016. "Comparative Approaches for Innovation in Agent-Based Modelling of Landscape Change," Land, MDPI, Open Access Journal, vol. 5(2), pages 1-4, May.
    3. repec:gam:jlands:v:5:y:2016:i:2:p:13:d:70411 is not listed on IDEAS

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