A Method for Using Belief Networks as Influence Diagrams
Artificial Intelligence
2013-04-10 v1
Abstract
This paper demonstrates a method for using belief-network algorithms to solve influence diagram problems. In particular, both exact and approximation belief-network algorithms may be applied to solve influence-diagram problems. More generally, knowing the relationship between belief-network and influence-diagram problems may be useful in the design and development of more efficient influence diagram algorithms.
Cite
@article{arxiv.1304.2346,
title = {A Method for Using Belief Networks as Influence Diagrams},
author = {Gregory F. Cooper},
journal= {arXiv preprint arXiv:1304.2346},
year = {2013}
}
Comments
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)