Exploiting domain knowledge for approximate diagnosis

Annette ten Teije
Frank van Harmelen

The AI literature contains many definitions of diagnostic reasoning most of which are defined in terms of the logical entailment relation. We use existing work on approximate entailment to define notions of approximation in diagnosis. We show how such a notion of approximate diagnosis can be exploited in various diagnostic strategies. We illustrate these strategies by performing diagnosis in a small car domain example.

(PDF paper, 100KB)

@InProceedings{IJCAI97,
  author =    "A. ten Teije and F. van Harmelen",
  title =     "Exploiting domain knowledge for approximate diagnosis",
  booktitle = "Proceedings of the Fifteenth International Joint Conference on
               Artificial Intelligence ({IJCAI}'97)",
  year =      "1997",
  pages =     "454--459",
  editor =    "M. Pollack",
  address =   "Nagoya, Japan",
  month =     "August",
  keywords = {Diagnostic Reasoning},
  urlPaper = "http://www.cs.vu.nl/~frankh/postscript/IJCAI97.pdf"
}

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