Selection of Perturbation Experiments for Model Discrimination

Vatcheva, Ivayla and Jong de, Hidde and Mars, Nicolaas J.I. (2000) Selection of Perturbation Experiments for Model Discrimination. In: 14th European Conference on Artificial Intelligence, August 20-25, 2000, Berlin, Germany.

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Abstract:	It often occurs that a system can be described by several competing models. In order to distinguish among the alternative models, further information about the behavior of the system is required. One way to obtain such information is to perform suitably chosen perturbation experiments. We introduce a method for the selection of optimal perturbation experiments for discrimination among a set of dynamical models. The models are assumed to have the form of semi-quantitative differential equations. The method employs an optimization criterion based on the entropy measure of information.
Item Type:	Conference or Workshop Item
Copyright:	© 2000 IOS Press
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/59859
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