文章基本信息

标题：Calibrating with Multiple Criteria: A Demonstration of Dominance
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作者：Jennifer Badham ; Chipp Jansen ; Nigel Shardlow 等
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2017
卷号：20
期号：2
页码：1-11
DOI：10.18564/jasss.3212
出版社：University of Surrey, Department of Sociology
摘要：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.
关键词：Multi-Criteria Decision Making; Calibration; Pattern-Oriented Modelling; Dominance; Behaviour Modelling