Implementing and improving a method for non-invasive elicitation of probabilities for Bayesian networks
Martinus de Jongh, Marek J. Drużdżel, Léon J. M. Rothkrantz · 2007
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.