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.
|Title of host publication||ECAI 2000|
|Subtitle of host publication||14th European conference on Artificial intelligence : August 20-25, 2000, Berlin, Germany|
|Publication status||Published - 20 Aug 2000|
|Event||14th European Conference on Artificial Intelligence, ECAI 2000 - Berlin, Germany|
Duration: 20 Aug 2000 → 25 Aug 2000
Conference number: 14
|Name||Frontiers in artificial intelligence and applications|
|Conference||14th European Conference on Artificial Intelligence, ECAI 2000|
|Period||20/08/00 → 25/08/00|
Vatcheva, I., de Jong, H., & Mars, N. (2000). Selection of perturbation experiments for model discrimination. In W. Horn (Ed.), ECAI 2000: 14th European conference on Artificial intelligence : August 20-25, 2000, Berlin, Germany (pp. 191-195). (Frontiers in artificial intelligence and applications; No. 54). IOS.