Paper
- F. J. Díez and J. Mira. Distributed inference in
Bayesian networks. Cybernetics
and Systems, 25 (1994)
36-61.
- 17 pages. PostSript
(198 KB), zip
version (60 KB), BibTeX
entry.
Abstract
Bayesian networks originated as a framework for distributed reasoning.
In singly-connected networks, there exists an elegant inference
algorithm that can be implemented in parallel having a processor for
every node. It can be extended to take profit of the OR--gate, a model
of interaction among causes which simplifies knowledge acquisition and
evidence propagation. We also discuss two exact and one approximate
methods for dealing with general networks. It will be shown how all
these algorithms admit distributed implementations.
Javier Díez
/ Last update: February 22 1999.