Constructing Situation Specific Belief Networks
Abstract
This paper describes a process for constructing situation-specific belief networks from a knowledge base of network fragments. A situation-specific network is a minimal querycomplete network constructed from a knowledge base in response to a query for the probability distribution on a set of target variables given evidence and context variables. We present definitions of query completeness and situation-specific networks. We describe conditions on the knowledge base that guarantee query completeness. The relationship of our work to earlier work on KBMC is also discussed.
Cite
Text
Mahoney and Laskey. "Constructing Situation Specific Belief Networks." Conference on Uncertainty in Artificial Intelligence, 1998.Markdown
[Mahoney and Laskey. "Constructing Situation Specific Belief Networks." Conference on Uncertainty in Artificial Intelligence, 1998.](https://mlanthology.org/uai/1998/mahoney1998uai-constructing/)BibTeX
@inproceedings{mahoney1998uai-constructing,
title = {{Constructing Situation Specific Belief Networks}},
author = {Mahoney, Suzanne M. and Laskey, Kathryn B.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1998},
pages = {370-37},
url = {https://mlanthology.org/uai/1998/mahoney1998uai-constructing/}
}