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A generic measurement proposer

  • Hartmut Freitag
Model-Based Diagnosis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 462)

Abstract

Selecting the next measurement point in order to discriminate among candidate diagnoses is a crucial task for diagnosis system. We present a generic system which allows the fast and effective realization of different measurement selection strategies for model-based diagnosis systems. The minimum entropy technique used in the General Diagnostic Engine (Gde) and a simplification of it presented in [de Kleer 89] are two possible instances of this system. Several other techniques based on this framework are presented, including another simplification of the minimum entropy technique which overcomes deficiencies of [de Kleer 89].

Keywords

Failure Probability Diagnosis System Minimum Entropy Effective Realization General Minimum Entropy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [de Kleer 86]
    Johan de Kleer. An assumption-based tms. Artificial Intelligence, 28(2), 1986.Google Scholar
  2. [de Kleer 89]
    Johan de Kleer. Entropy without probablities. Technical Report SSL P89-00056, XEROX PARC, 1989.Google Scholar
  3. [de Kleer-Williams 87]
    Johan de Kleer and Brian C. Williams. Diagnosing multiple faults. Artificial Intelligence, 32(1), 1987.Google Scholar
  4. [de Kleer-Williams 89]
    Johan de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings 11th International Joint Conference on Artificial Intelligence, 1989.Google Scholar
  5. [Dressler 90]
    Oskar Dressler. Diagnosis as Coherent Assumption Sets. Presented at the International Workshop on Principles of Diagnosis, 1990.Google Scholar
  6. [Struss-Dressler 89]
    Peter Struss and Oskar Dressler. Physical negation — integrating fault models into the general diagnostic engine. In Proceedings 11th International Joint Conference on Artificial Intelligence, 1989.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Hartmut Freitag
    • 1
  1. 1.ZFE IS INF 22, SIEMENS AGMunich 83West-Germany

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