aHUGIN: A System Creating Adaptive Causal Probabilistic Networks
arXiv:1303.5421
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 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.
Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992)