aHUGIN: A System Creating Adaptive Causal Probabilistic Networks
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.
Cite
Text
Olesen et al. "aHUGIN: A System Creating Adaptive Causal Probabilistic Networks." Conference on Uncertainty in Artificial Intelligence, 1992. doi:10.1016/B978-1-4832-8287-9.50035-9Markdown
[Olesen et al. "aHUGIN: A System Creating Adaptive Causal Probabilistic Networks." Conference on Uncertainty in Artificial Intelligence, 1992.](https://mlanthology.org/uai/1992/olesen1992uai-ahugin/) doi:10.1016/B978-1-4832-8287-9.50035-9BibTeX
@inproceedings{olesen1992uai-ahugin,
title = {{aHUGIN: A System Creating Adaptive Causal Probabilistic Networks}},
author = {Olesen, Kristian G. and Lauritzen, Steffen L. and Jensen, Finn Verner},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1992},
pages = {223-229},
doi = {10.1016/B978-1-4832-8287-9.50035-9},
url = {https://mlanthology.org/uai/1992/olesen1992uai-ahugin/}
}