Skip to main content
SpringerLink
Log in

Managing multiple contexts efficiently

  • Conference paper
  • First Online:
KI-96: Advances in Artificial Intelligence (KI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1137))

Included in the following conference series:

  • 192 Accesses

Abstract

Assumption-based reasoning — using an ATMS — suffers from severe performance problems when the number of assumptions becomes very large. This is due to the exponential growth of ATMS labels. We suggest a new approach (FRMS) that avoids this problem by extending the RMS with context management functionality. This gives the problem solver explicit control over the contexts it actually needs.

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C. Beckstein, G. K. Kraetzschmar, and J. Schneeberger. Distributed Plan Maintenance for Scheduling and Execution. In C. Bäckström and E. Sandewall, editors, Current Trends in AI Planning. IOS Press, 1994.

    Google Scholar 

  2. M. Beetz, M. Lindner, and J. Schneeberger. Temporal Projection for Hierarchical, Partial-Order Planning. In Proc. of ISAI-92. AAAI Press, 1992.

    Google Scholar 

  3. J. de Kleer. An Assumption-based TMS. Artificial Intelligence, 28:127–224, 1986.

    Google Scholar 

  4. T. Geisler. Ein anwendungsunabhängiges Unterstützungssystem zum integrierten annahmenbasierten und temporalen Schließen. Master's thesis, University of Erlangen, February 1994.

    Google Scholar 

  5. G. K. Kraetzschmar. Distributed Reason Maintenance. PhD thesis, University of Erlangen, Erlangen, Germany, 1996.

    Google Scholar 

  6. G. K. Kraetzschmar and J. Schneeberger. FRMS: A focus-based reason maintenance system. Available via http from: http: //www. forwiss.uni-erlangen. de/∼ jws/papers/ki96-lv.ps, 1996.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Neural Information Processing Department, University of Ulm, Oberer Eselsberg, 89069, Ulm, Germany

    Gerhard K. Kraetzschmar

  2. Knowledge Acquisition Research Group, FORWISS, Am Weichselgarten 7, 91058, Erlangen, Germany

    Josef Schneeberger

Authors
  1. Gerhard K. Kraetzschmar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Josef Schneeberger
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Günther Görz Steffen Hölldobler

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kraetzschmar, G.K., Schneeberger, J. (1996). Managing multiple contexts efficiently. In: Görz, G., Hölldobler, S. (eds) KI-96: Advances in Artificial Intelligence. KI 1996. Lecture Notes in Computer Science, vol 1137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61708-6_59

Download citation

  • DOI: https://doi.org/10.1007/3-540-61708-6_59

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61708-2

  • Online ISBN: 978-3-540-70669-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation