Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks

Authors:
Martinus de Jongh;Marek Druzdzel;Leon Rothkrantz
Affiliations:
Delft University of Technology, Delft, The Netherlands;University of Pittsburgh, Pittsburgh, PA;Delft University of Technology, Delft, The Netherlands
Venue:
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Year:
2007

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Abstract

Knowledge elicitation is difficult for expert systems that are based on probability theory. The elicitation of probabilities for a probabilistic model requires a lot of time and interaction between the knowledge engineer and the expert. Druzdzel and van der Gaag [5] have proposed a theoretical framework that would allow the use of multiple types of probabilistic information for elicitation of Bayesian networks. This framework has been used as a starting point for the implementation of a non-invasive elication method.