Failure-Driven Learning of Fault Diagnosis Heuristics

@article{Pazzani1987FailureDrivenLO,
  title={Failure-Driven Learning of Fault Diagnosis Heuristics},
  author={Michael J. Pazzani},
  journal={IEEE Transactions on Systems, Man, and Cybernetics},
  year={1987},
  volume={17},
  pages={380-394}
}
An application of failure-driven learning to the construction of the knowledge base of a diagnostic expert system is discussed. Diagnosis heuristics (i.e., efficient rules which encode empirical associations between atypical device behavior and device failures) are learned from information implicit in device models. This approach is desirable since less effort is required to obtain information about device functionality and connectivity to define device models than to encode and debug diagnosis… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
Showing 1-3 of 3 references

An experiment in knowledgeintensive programming in a problem - solving architecture

J. Laird, J. McDermott, A. Newell, E. Orciuch
-1

Similar Papers

Loading similar papers…