Uncertainty in Artificial Intelligence

Uncertainty in Artificial Intelligence

Proceedings of the Eighth Conference (1992), July 17–19, 1992, Eighth Conference on Uncertainty in Artificial Intelligence, Stanford University
1992, Pages 223-229
Uncertainty in Artificial Intelligence

aHUGIN: A System Creating Adaptive Causal Probabilistic Networks

https://doi.org/10.1016/B978-1-4832-8287-9.50035-9Get rights and content

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.

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