GC6-5 - Encoding agent-based models

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Author and Citation Info: 

DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Encoding agent-based models. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).

Learning Objectives: 
  • Design simple experiments with an agent-based model
  • Design and implement a simple agent-based model using appropriate commercial or open source development tools
  • Conduct simple experiments with an agent-based model, analyze results, and evaluate their statistical significance with respect to degrees of freedom, sensitivity analyses, and uncertainty in the model
  • Describe how measurements on various inputs and outputs of a model can be used to describe model behavior and to relate model outcomes to various initial conditions
  • Describe how various parameters in an agent-based model can be modified to evaluate the range of behaviors possible with a model specification
  • Determine if an agent-based model has been run enough times with enough different random number seeds for rigorous inference of its results