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Verifying Model Results

  • Tim Gooding
Chapter

Abstract

Verifying that agent-based model results involve two steps. One is to ensure that the code is sound, and that it is operating according to the experimental design. The second is to ensure that the results are robust and not an artefact of specific code or a particular design. This is a particular challenge when the outcome involves patterns that are not amenable to statistical analysis. This explains steps taken to ensure that the results in this book are robust.

Keywords

Code verification Pattern robustness Agent-based modelling Evolution Emergent behaviour 

References

  1. Hamill, L., & Gilbert, N. (2016). Agent-based modelling in economics. Chichester, UK: Wiley.Google Scholar
  2. Reynolds, C. (1987). Flocks, herds and schools: A distributed behaviour model. Computer Graphics, 21(4), 25–34.CrossRefGoogle Scholar
  3. Wilensky, U., & Rand, W. (2015). An introduction to agent-based modeling: Modeling natural, social, and engineered complex systems with Netlogo. Cambridge: MIT Press.Google Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Tim Gooding
    • 1
  1. 1.Kingston UniversityKingston upon ThamesUK

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