Skip to main content

Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study

  • Conference paper
  • First Online:
Case-Based Reasoning Research and Development (ICCBR 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1650))

Included in the following conference series:

Abstract

In response to the occurrence of an air incident, controllers at one of the three Canadian Rescue Coordination Centers (RCC) must make a series of critical decisions on the appropriate procedures to follow. These procedures (called incident prosecution) include hypotheses formulation and information gathering, development of a plan for the search and rescue (SAR) missions and in the end, the generation of reports. We present in this paper the results of a project aimed at evaluating the applicability of CBR to help support incident prosecution in the RCC. We have identified three possible applications of CBR: Online help, real time support for situation assessment, and report generation. We present a brief description of the situation assessment agent system that we are implementing as a result of this study.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Carrick C., Qiang Y., Abi-Zeid, I., Lamontagne L.: Activating CBR Systems through Autonomous Information Gathering. ICCBR’99 (1999)

    Google Scholar 

  2. Cottam, H., Shadbolt, N., Kingston, J., Beck, H., Tate, A.: Knowledge Level Planning in the Search and Rescue Domain. In Bramer, M.A., Nealon, R. (eds.): Research and Development in Expert Systems XII. SGES Publications (1995) 309–326

    Google Scholar 

  3. Cottam, H., Shadbolt, N.: Knowledge Acquisition for Search and Rescue. Proceedings of the 10th Knowledge Acquisition for Knowledge Based Systems Workshop, KAW 96 (1996)

    Google Scholar 

  4. Erol, K. Hierarchical Task Network Planning: Formalization, Analysis and Implementation. Ph. D. Thesis, University of Maryland (1994)

    Google Scholar 

  5. Hammond, K. Case Based Planning: A Framework for Planning from Experience. Journal of Cognitive Science, 14(3) (1990)

    Google Scholar 

  6. Knoblock, C. and Ambite, J.-L.: Agents for Information Gathering. In Bradshaw, J.M. (ed.): Software Agents. (1997) 347–374

    Google Scholar 

  7. Kolodner, J.: Case Based Reasoning. Morgan Kaufmann Publishers, Inc. (1993)

    Google Scholar 

  8. Koton, P.: Reasoning about Evidence in Causal Explanation. In Proceedings of the 1998 AAAI Conference. AAAI Press/MIT Press (1988)

    Google Scholar 

  9. Leake, D.: Case Based Reasoning: Experiences, Lessons and Future Directions. AAAI Press (1996)

    Google Scholar 

  10. Munoz-Avila, H., Aha D.W., Breslow L., Nau D.: HICAP: An Interactive Case-Based Planning Architecture and its Application to Noncombatant Evacuation Operations. NCARAI Technical Note AIC-99-002 (1999)

    Google Scholar 

  11. National SAR Manual. December (1995)

    Google Scholar 

  12. Porter, B., Bareiss, R., and Holte, R.: Concept Learning and Heuristic Classification in Weak Theory Domains. Artificial Intelligence (45) (1990) 229–263

    Google Scholar 

  13. Pryor, L. and Collins G.: Planning to perceive: A utilitarian approach. In Working notes of the AAAI Spring Symposium on the Control of Selective Perception. March (1992)

    Google Scholar 

  14. RCC Victoria Standard Operating Procedures (1997)

    Google Scholar 

  15. RCC Victoria 1996 Statistical Summary (1996)

    Google Scholar 

  16. Sacerdoti, E. D.: Planning in a hierarchy of abstraction spaces. In Allen, J., Hendler J., and Tate A. (eds.): Readings in Planning. Morgan Kaufman (1990) 98–108

    Google Scholar 

  17. Veloso, M.M., Mulvehill A.M., Cox M.T.: Rationale-Supported Mixed-Initiative Case-Based Planning. In Proceedings of the Ninth Conference on Innovative Applications of Artificial Intelligence. AAAI Press (1997) 1072–1085

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Abi-Zeid, I., Lamontagne, L., Yang, Q. (1999). Is CBR Applicable to the Coordination of Search and Rescue Operations? A Feasibility Study. In: Althoff, KD., Bergmann, R., Branting, L. (eds) Case-Based Reasoning Research and Development. ICCBR 1999. Lecture Notes in Computer Science, vol 1650. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48508-2_26

Download citation

  • DOI: https://doi.org/10.1007/3-540-48508-2_26

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66237-2

  • Online ISBN: 978-3-540-48508-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics