We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.

Durham Research Online
You are in:

Calibrating with Multiple Criteria: A Demonstration of Dominance

Badham, Jennifer and Jansen, Chipp and Shardlow, Nigel and French, Thomas (2017) 'Calibrating with Multiple Criteria: A Demonstration of Dominance.', Journal of Artificial Societies and Social Simulation, 20 (2). p. 11.


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.

Item Type:Article
Full text:(VoR) Version of Record
Available under License - Creative Commons Attribution 4.0.
Download PDF
Publisher Web site:
Date accepted:12 September 2016
Date deposited:29 September 2021
Date of first online publication:31 March 2017
Date first made open access:29 September 2021

Save or Share this output

Look up in GoogleScholar