Selection of perturbation experiments for model discrimination

Ivayla Vatcheva, Hidde de Jong, Nicolaas Mars

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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.
    Original languageEnglish
    Title of host publicationECAI 2000
    Subtitle of host publication14th European conference on Artificial intelligence : August 20-25, 2000, Berlin, Germany
    EditorsWerner Horn
    PublisherIOS
    Pages191-195
    ISBN (Print)1-5860-3013-2
    Publication statusPublished - 20 Aug 2000
    Event14th European Conference on Artificial Intelligence, ECAI 2000 - Berlin, Germany
    Duration: 20 Aug 200025 Aug 2000
    Conference number: 14

    Publication series

    NameFrontiers in artificial intelligence and applications
    PublisherIOS
    Number54

    Conference

    Conference14th European Conference on Artificial Intelligence, ECAI 2000
    Abbreviated titleECAI
    CountryGermany
    CityBerlin
    Period20/08/0025/08/00

    Keywords

    • METIS-119705
    • IR-59859

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  • Cite this

    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.