Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks

@article{Xiang2000PracticalII,
  title={Practical Issues in Modeling Large Diagnostic Systems with Multiply Sectioned Bayesian Networks},
  author={Yanping Xiang and Kristian G. Olesen and Finn Verner Jensen},
  journal={IJPRAI},
  year={2000},
  volume={14},
  pages={59-72}
}
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These large projects demand a systematic approach to handle the complexity in knowledge engineering. The needs include modularity in representation, distribution in computation, as well as coherence in inference. Multiply Sectioned Bayesian Networks (MSBNs) provide a distributed multiagent framework to address these needs… CONTINUE READING

From This Paper

Topics from this paper.

References

Publications referenced by this paper.
Showing 1-10 of 22 references

Technical Report CS-98-02

  • Y. Xiang. Cooperative triangulation in MSBNs without structures
  • University of Regina,
  • 1998

Cooperative multiagent distributed interpretation: is multiply sectioned Bayesian networks necessary? Technical Report CS-97-05

  • Y. Xiang
  • Dec. 1997, University of Regina
  • 1997

An introduction to Bayesian networks

  • F. V. Jensen
  • UCL Press
  • 1996

Similar Papers

Loading similar papers…