Calibrating with Multiple Criteria: A Demonstration of Dominance

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

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