Calibrating with Multiple Criteria: A Demonstration of Dominance

Badham, Jennifer; Jansen, Chipp; Shardlow, Nigel; French, Thomas

doi:10.18564/jasss.3212

Calibrating with Multiple Criteria: A Demonstration of Dominance

Badham, Jennifer; Jansen, Chipp; Shardlow, Nigel; French, Thomas

Authors

Dr Jennifer Badham jennifer.badham@durham.ac.uk
Assistant Professor

Chipp Jansen

Nigel Shardlow

Thomas French

Abstract

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.

Citation

Badham, J., Jansen, C., Shardlow, N., & French, T. (2017). Calibrating with Multiple Criteria: A Demonstration of Dominance. Journal of Artificial Societies and Social Simulation, 20(2), Article 11. https://doi.org/10.18564/jasss.3212

Journal Article Type	Article
Acceptance Date	Sep 12, 2016
Online Publication Date	Mar 31, 2017
Publication Date	2017-03
Deposit Date	Sep 29, 2021
Publicly Available Date	Sep 29, 2021
Journal	Journal of Artificial Societies and Social Simulation
Print ISSN	1460-7425
Publisher	SimSoc Consortium
Peer Reviewed	Peer Reviewed
Volume	20
Issue	2
Article Number	11
DOI	https://doi.org/10.18564/jasss.3212
Publisher URL	https://www.jasss.org/20/2/11.html