A Method for Using Belief Networks as Influence Diagrams
arXiv:1304.2346
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.
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)
References in corpus (1)
Cited by in corpus (6)
- The Complexity of Approximately Solving Influence Diagrams
- Multi-objective Influence Diagrams
- A Sensitivity Analysis of Pathfinder
- BaRT: A Bayesian Reasoning Tool for Knowledge Based Systems
- Decision Making Using Probabilistic Inference Methods
- Knowledge-Based Decision Model Construction for Hierarchical Diagnosis: A Preliminary Report