aHUGIN: A System Creating Adaptive Causal Probabilistic Networks
  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 C011ditional 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.
