Calibrating with Multiple Criteria: A Demonstration of Dominance

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    • Jennifer Badham
    • Chipp Jansen
    • Nigel Shardlow
    • Thomas French

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    Pattern oriented modelling (POM) is an approach to calibration or validation that assesses a model using multiple weak patterns. We extend the concept of POM, using dominance to objectively identify the best parameter candidates. The TELL ME agent-based model is used to demonstrate the approach. This model simulates personal decisions to adopt protective behaviour during an influenza epidemic. The model fit is assessed by the size and timing of maximum behaviour adoption, as well as the more usual criterion of minimising mean squared error between actual and estimated behaviour. The rigorous approach to calibration supported explicit trading off between these criteria, and ultimately demonstrated that there were significant flaws in the model structure.

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    • Calibrating with Multiple Criteria: A Demonstration of Dominance

      Rights statement: Copyright 2017 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.

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    DOI

    Original languageEnglish
    Article number11
    JournalJournal of Artificial Societies and Social Simulation
    Journal publication date31 Mar 2017
    Issue number2
    Volume20
    DOIs
    Publication statusPublished - 31 Mar 2017

    ID: 127474153