From certainty factors to belief networks

@article{Heckerman1992FromCF,
  title={From certainty factors to belief networks},
  author={David Heckerman and Edward H. Shortliffe},
  journal={Artificial Intelligence in Medicine},
  year={1992},
  volume={4},
  pages={35-52}
}
The certainty-factor (CF) model is a commonly used method for managing uncertainty in rule-based systems. We review the history and mechanics of the CF model, and delineate precisely its theoretical and practical limitations. In addition, we examine the belief network, a representation that is similar to the CF model but that is grounded firmly in probability theory. We show that the belief-network representation overcomes many of the limitations of the CF model, and provides a promising… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.
35 Citations
44 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 35 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 44 references

An expert system for diagnosis of sleep disorders

  • G. Nino-Murcia, M. Shwe
  • M. Chase, R. Lydic, and C. O’Connor, editors…
  • 1991
1 Excerpt

Stael von Holstein . Probability encoding in decision analysis

  • S. C.
  • Management Science
  • 1991

Bayesian belief-network inference using recursive decomposition

  • G. F. Cooper
  • Technical Report KSL-90-05, Medical Computer…
  • 1990
1 Excerpt

Similar Papers

Loading similar papers…