Skip to main content

Embedding Temporal Reasoning into the ATMS Framework

  • Conference paper
Expertensysteme 93

Part of the book series: Informatik aktuell ((INFORMAT))

  • 80 Accesses

Abstract

The paper presents an extension of the classical ATMS framework aimed to render it the capability to model time and action. This extension emerged from our efforts to deal with time-dependent models and non-intermittent faults in model-based diagnosis. The assumptions are considered to be committed forever, but the ATMS provides a built-in way of representing the world at different time points, allowing the problem-solver to reason about change.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. de Kleer, J., An Assumption Based Truth Maintenance System, Artificial Intelligence 28, (1986), pp. 127–162.

    Article  Google Scholar 

  2. de Kleer, J., A General Labeling Algorithm for Assumption-Based Truth Maintenance, Proc. AAAI 1988, pp. 188–192.

    Google Scholar 

  3. de Kleer, J., Williams, B., Diagnosing Multiple Faults, Artificial Intelligence 32 (1987), pp. 97–130.

    Article  MATH  Google Scholar 

  4. de Kleer, J., Williams, B., Diagnosis with Behavioral Modes, Proc.IJCAI 1989, pp. 1324–1330.

    Google Scholar 

  5. Hamscher, W., Modelling Digital Circuits for Troubleshooting, Artificial Intelligence 51 (1991), pp. 223–271.

    Article  Google Scholar 

  6. Iwanowski, S., Model Based Diagnosis for Different Time Points, Proc. ECAI 1992 Workshop on Model-Based Reasoning.

    Google Scholar 

  7. Kelleher, G., The Application of RMS in Planning and Scheduling Algorithms, Proc. ECCAI Int. Summer School on Advanced Topics in AI, Prague, 1992.

    Google Scholar 

  8. McDermott, D., A General Framework for Reason Maintenance, Artificial Intelligence 50 (1991), pp. 289–329.

    Article  MathSciNet  MATH  Google Scholar 

  9. Perkins, W., Austin, A., Adding Temporal Reasoning to Expert-System-Building Environments, IEEE Expert, 1990, pp. 23–30.

    Google Scholar 

  10. Raiman, O., de Kleer, J.,Saraswat, V., Shirley, M., Characterizing Non Intermittent Faults, Proc. AAAI 1991, pp. 849–854.

    Google Scholar 

  11. Reiter, R., A Theory of Diagnosis from First Principles, Artificial Intelligence 32 (1987), pp. 57–95.

    Article  MathSciNet  MATH  Google Scholar 

  12. Struss, P., Knowledge-based Diagnosis — An Important Challenge and Touchstone for AI, Proc. ECAI 1992, pp. 863–874.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tatar, M.M., Letia, I.A. (1993). Embedding Temporal Reasoning into the ATMS Framework. In: Puppe, F., Günter, A. (eds) Expertensysteme 93. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-78073-8_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-78073-8_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56464-5

  • Online ISBN: 978-3-642-78073-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics