[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
article
Free access

Putting the expert in charge: graphical knowledge acquisition for fault diagnosis and repair

Published: 01 April 1989 Publication History

Abstract

Thesis: With respect to the fault diagnosis and repair problem,• experts who are not programmers can work alone to specify test and repair plans and make use of a natural idiom;• a graphical interface can be built which limits keyboard input and avoids natural language headaches;• consistency checking to prevent cycles and redundancies in test/repair sequences can be carried out during knowledge acquisition prior to running the resulting diagnostic routines;• a current version of the (output) diagnostic routine may be run easily during knowledge acquisition to verify the knowledge base while it is being built;• diagnostic testing can be deterministic but need not be fully-ordered, and probably should not be;• rules and uncertainty measures are not necessary.

References

[1]
Blaxton, T. A. and Westphal, C. R. (1988). Combining Explicit Queries with Simulation Techniques during Knowledge Acquisition. Proceedings of AI and Simulation; 1988 Eastern Simulation Conferences.
[2]
Eshelman, L., Ehret, D., McDermott, J. and Tan, M. (1987). MOLE: A Tenacious Knowledge Acquisition Tool for Expert Systems. International Journal of Man-Machine Studies, 26(1), 29-40.
[3]
Hofmann, M., Caviedes, J., Bourne, J., Beale, G. and Brodersen, A. (1986). Building Expert Systems for Repair Domains. Expert Systems, 3(1), pp. 4-12.
[4]
Kahn, G. S. (1987). From Application Shell to Knowledge Acquisition System. Proceedings of the Tenth International Joint Conference on Artificial Intelligence.
[5]
Kahn, G. S., Nowlan, S. and McDermott, J. (1985). MORE: An Intelligent Knowledge Acquisition Tool. Proceedings of the Ninth International Joint Conference on Artificial Intelligence.
[6]
Kahn, G. S., Kepner, A. and Pepper, J. (1987). TEST: A Model-Driven Application Shell. Proceedings of the Sixth National Conference on Artificial Intelligence.
[7]
Klinker, G. (1988). KNACK: Sample-Driven Knowledge Acquisition for Reporting Systems. In S. Marcus (Ed.), Automating Knowledge Acquisition for Expert Systems, Boston: Kluwer Academic Publishers.
[8]
Lee, K. P., Martin, J., Rutter, P. and Wexelblat, R. (1988). A Development Environment for Field Diagnosis Tools. Proceedings of the Fourth Conference on Artificial Intelligence Applications.
[9]
Mittal, S., Bobrow, D. G. and de Kleer, J. (1987). DARN: Towards a Community Memory for Diagnosis and Repair Tasks. In J. Hendler (Ed.), Expert Systems: The User Interface, Ablex: Norwood, NJ.
[10]
Marcus, S. (1988). SALT: A Knowledge Acquisition Tool for Propose-and-Revise Systems. In S. Marcus (Ed.), Automating Knowledge Acquisition for Expert Systems, Boston: Kluwer Academic Publishers.
[11]
Musen, M. A., Fagan, L. M. and Shortliffe, E. H. (1986). Graphical Specification of Procedural Knowledge for an Expert System. Proceedings of the Second IEEE Computer Society Workshop on Visual Languages.
[12]
Pierce, J. A., Rodi, L. L. and Dalton, R. E. (1988). Interactive Knowledge Acquisition for Fault Isolation and Repair {Abstract}. Proceedings of the Fourth Conference on Artificial Intelligence Applications.
[13]
Rodi, L. L., Pierce, J. A. and Dalton, R. E. (1988). Authoring a Fault Isolation and Repair System with Direct Manipulation Techniques. AI in Armament Workshop.
[14]
Rouse, W. B. (1983). Models of Natural Intelligence in Fault Diagnosis Tasks: Implications for Training and Aiding of Maintenance Personnel. Artificial Intelligence in Maintenance: Proceedings of the Joint Services Workshop.
[15]
Seligman, L., Kahn, G. S., Pepper, J. and Kepner, A. (1987). TEST: An Architecture for Trouble-shooting Systems. Proceedings of AI-87.
[16]
Shachter, R. D. and Heckerman, D. E. (1987). Thinking Backward for Knowledge Acquisition. AI Magazine, 8(3), pp. 55-61.

Cited By

View all
  • (2008)Human Factors Contributions to Knowledge ElicitationHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1518/001872008X28847550:3(481-488)Online publication date: 1-Jun-2008

Index Terms

  1. Putting the expert in charge: graphical knowledge acquisition for fault diagnosis and repair

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM SIGART Bulletin
      ACM SIGART Bulletin Just Accepted
      Special issue on knowledge acquisition
      April 1989
      205 pages
      ISSN:0163-5719
      DOI:10.1145/63266
      Issue’s Table of Contents

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 April 1989
      Published in SIGAI , Issue 108

      Check for updates

      Qualifiers

      • Article

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)84
      • Downloads (Last 6 weeks)33
      Reflects downloads up to 28 Dec 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2008)Human Factors Contributions to Knowledge ElicitationHuman Factors: The Journal of the Human Factors and Ergonomics Society10.1518/001872008X28847550:3(481-488)Online publication date: 1-Jun-2008

      View Options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Login options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media