aHUGIN: a system creating adaptive causal probabilistic networks

Authors:
Kristian G. Olesen;Steffen L. Lauritzen;Finn V. Jensen
Affiliations:
Institute for Electronic Systems, Aalborg University, Aalborg, Denmark;Institute for Electronic Systems, Aalborg University, Aalborg, Denmark;Institute for Electronic Systems, Aalborg University, Aalborg, Denmark
Venue:
UAI'92 Proceedings of the Eighth international conference on Uncertainty in artificial intelligence
Year:
1992

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Abstract

The paper describes aHUGIN, a tool for creating adaptive systems, aHUGIN is an extension of the HUGIN shell, and is based on the methods reported by Spiegelhalter and Lauritzen (1990a). The adaptive systems resulting from aHUGIN are able to adjust the conditional probabilities in the model. A short analysis of the adaptation task is given and the features of aHUGIN are described. Finally a session with experiments is reported and the results are discussed.