Skip to main content

Diagnostic information at your fingertips!

  • Invited Talks
  • Conference paper
  • First Online:
  • 89 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1323))

Abstract

The paper calls for attention to the following points:

  • • There is a rapidly opening gap between available computational resources in all kinds of technical devices and useful on-board applications for the end user. This means opportunities for creating embedded artificial intelligence systems of all sorts, in particular on-board model-based diagnosis in cars.

  • • In the case of model-based diagnosis relevant technology has been available for years. This is demonstrated by sketching a minimal on-board diagnosis system using rather old components. Based on this latter experience we emphasize the need for real examples even in the early stages of a research program. It helps focusing one's efforts both on a personal as on a community level. Despite the successes so far, diagnosis is an open problem. More, not less basic research is needed to solve the problems arising in industrial environments.

  • • There are many other tasks in a technical product's life cycle where a model-based approach is suitable (both on-board and off-board), but where even more basic research is needed.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Böttcher, Dressler. A Framework for Controlling Diagnosis Systems with Multiple Actions Annals of Mathematics and Artificial Intelligence, 11(l–4), 1994. Special Issue on Model-based Diagnosis.

    Google Scholar 

  2. Burch, Clarke, McMillan. Symbolic model checking: 1020 states and beyond. 5th Annual IEEE Symposium on Logic in Computer Science, IEEE, New York, pp. 428–439

    Google Scholar 

  3. de Kleer, J., An Assumption-based Truth Maintenance System. Artificial Intelligence, 1986

    Google Scholar 

  4. de Kleer. Focusing on Probable Diagnoses. Proc. AAAI'91. MIT Press, 1991

    Google Scholar 

  5. de Kleer, Williams. Diagnosing Multiple Faults. Artificial Intelligence, 1987

    Google Scholar 

  6. Dressler, Freitag. Propagation of Temporally Indexed Values in Multiple Contexts. In GWAI'89, Springer, 1989

    Google Scholar 

  7. Dressler, Farquhar. Putting the problem solver back in the driver's seat: contextual control of the ATMS. Springer Lecture Notes on AI, 1990

    Google Scholar 

  8. Dressler,Struss.Model-based diagnosis with the default-based diagnosis engine: effective control strategies that work in practice. Proc. ECAI'94, Wiley, 1994

    Google Scholar 

  9. O. Dressler, P. Struss. The Consistency-based Approach to Automated Diagnosis of Devices. In G.Brewka (Ed.), Principles of Knowledge Representation, pages 267–311, CSLI Publications, Stanford 1996

    Google Scholar 

  10. Dressler.On-line Diagnosis and Monitoring of Dynamic Systems based on Qualitative Models and Dependency-based Diagnosis Engines Proc ECAI'96, Wiley, 1996.

    Google Scholar 

  11. Forbus, de Kleer. Building Problem Solvers. MIT Press, 1993

    Google Scholar 

  12. Friedrich, Gottlob, Nejdl. Formalizing the repair process. Proc. EPIA '91, Springer Lecture Notes on AI, 1991

    Google Scholar 

  13. Hunt, Price, Lee. Automating the FMEA Process. Intelligent Systems Engineering, 2:119–132, 1993

    Google Scholar 

  14. Kuipers, Shults. Reasoning in Logic about Continuous Systems, Proc. KR '94, Morgan Kaufmann Publishers

    Google Scholar 

  15. Roth, P. Computer Logic, Testing, and Verification. Pitman Publishing, 1980

    Google Scholar 

  16. Struss. What's in SD? in Hamscher, Console, de Kleer (Eds.) Readings in Model-based diagnosis, Morgan Kaufmann, 1992

    Google Scholar 

  17. Struss, P. Testing Physical Systems, Proc. AAAI 94, MIT Press, 1994

    Google Scholar 

  18. Struss, P. Fundamentals of Model based Diagnosis of Dynamic Systems. Proc. IJCAI'97, Morgan Kaufmann, 1997

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Ernesto Coasta Amilcar Cardoso

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dressier, O. (1997). Diagnostic information at your fingertips!. In: Coasta, E., Cardoso, A. (eds) Progress in Artificial Intelligence. EPIA 1997. Lecture Notes in Computer Science, vol 1323. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0023939

Download citation

  • DOI: https://doi.org/10.1007/BFb0023939

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63586-4

  • Online ISBN: 978-3-540-69605-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics