Skip to main content

Exercising Qualitative Control in Autonomous Adaptive Survivable Systems

  • Conference paper
  • First Online:
Self-Adaptive Software: Applications (IWSAS 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2614))

Included in the following conference series:

Abstract

We seek to construct autonomous adaptive survivable systems that use active trust management to adapt their own behavior in the face of compromises in the computational environment. Active trust management maintains probabilistic trust models that indicate the trustworthiness of different resources for different tasks, and uses these models in rationally adapting allocations of computational resources to tasks. Flexible adaptation of allocations to changing circumstances places great demands on the methods used to represent the utility information needed by rational decision-making mechanisms. This paper explains how to use qualitative preference specifications to exercise effective control over quantitative trust-based resource allocation by facilitating convenient specification and adaptation of the stable foundations of the trust manager’s utility judgments.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Shrobe, H., Doyle, J.: Active trust management for autonomous adaptive survivable systems. In Robertson, P., Shrobe, H., Laddaga, R., eds.: Self-Adaptive Software. Lecture Notes in Computer Science. Springer Verlag, Berlin (2001) 40–49 Revised papers from the First International Workshop on Self-Adaptive Software (IWSAS 2000).

    Chapter  Google Scholar 

  2. Doyle, J., Kohane, I., Long, W., Shrobe, H., Szolovits, P.: Agile monitoring for cyber defense. In: Proceedings of the Second DARPA Information Security Conference and Exhibition (DISCEX-II), IEEE, IEEE Computer Society (2001)

    Google Scholar 

  3. Haimowitz, I.J., Kohane, I.S.: Automated trend detection with alternate temporal hypotheses. In: Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, Chambery, France (1993) 146–151

    Google Scholar 

  4. Doyle, J., Kohane, I., Long, W., Shrobe, H., Szolovits, P.: Event recognition beyond signature and anomaly. In: Proceedings of the 2001 IEEE SMC Workshop on Information Assurance and Security, United States Military Academy, West Point, New York. (2001) 17–23

    Google Scholar 

  5. Haddawy, P., Hanks, S.: Utility models for goal-directed decision-theoretic planners. Computational Intelligence 14 (1998) 392–429

    Article  MathSciNet  Google Scholar 

  6. Savage, L.J.: The Foundations of Statistics. second edn. Dover Publications, New York (1972)

    MATH  Google Scholar 

  7. Wellman, M.P., Doyle, J.: Preferential semantics for goals. In: National Conference on Artificial Intelligence. (1991) 698–703

    Google Scholar 

  8. Doyle, J., Shoham, Y., Wellman, M.P.: A logic of relative desire (preliminary report). In Ras, Z.W., Zemankova, M., eds.: Methodologies for Intelligent Systems, 6. Volume 542 of Lecture Notes in Artificial Intelligence., Berlin, Springer-Verlag (1991) 16–31

    Google Scholar 

  9. Doyle, J., Wellman, M.P.: Representing preferences as ceteris paribus comparatives. In Hanks, S., Russell, S., Wellman, M.P., eds.: Proceedings of the AAAI Spring Symposium on Decision-Theoretic Planning. (1994)

    Google Scholar 

  10. Tan, S.W., Pearl, J.: Specification and evaluation of preferences for planning under uncertainty. In Doyle, J., Sandewall, E., Torasso, P., eds.: KR94, San Francisco, CA, Morgan Kaufmann (1994)

    Google Scholar 

  11. Tan, S.W., Pearl, J.: Qualitative decision theory. In: AAAI94, Menlo Park, CA, AAAI Press (1994)

    Google Scholar 

  12. Boutilier, C.: Toward a logic for qualitative decision theory. In Doyle, J., Sandewall, E., Torasso, P., eds.: Principles of Knowledge Representation and Reasoning: Proceedings of the Fourth International Conference (KR’94), San Francisco, Morgan Kaufmann (1994)

    Google Scholar 

  13. Boutilier, C., Brafman, R.I., Hoos, H.H., Poole, D.: Reasoning with conditional ceteris paribus preference statements. In: Proceedings of Uncertainty in Artificial Intelligence 1999 (UAI-99). (1999)

    Google Scholar 

  14. Bacchus, F., Grove, A.: Graphical models for preference and utility. In: Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann (1995) 3–19

    Google Scholar 

  15. Bacchus, F., Grove, A.: Utility independence in a qualitative decision theory. In: Proceedings of the Fifth International Conference on Knowledge Representation and Reasoning, Morgan Kaufmann (1996) 542–552

    Google Scholar 

  16. Shoham, Y.: Conditional utility, utility independence, and utility networks. In Geiger, D., Shenoy, P.P., eds.: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, San Francisco, California, Morgan Kaufmann (1997) 429–436

    Google Scholar 

  17. Shoham, Y.: A symmetric view of probabilities and utilities. In Pollack, M.E., ed.: Proceedings of IJCAI-97, San Francisco, California, Morgan Kaufmann (1997) 1324–1329

    Google Scholar 

  18. Wellman, M.P., Doyle, J.: Modular utility representation for decision-theoretic planning. In: Proceedings of the First International Conference on AI Planning Systems. (1992)

    Google Scholar 

  19. Doyle, J., Thomason, R.H.: Background to qualitative decision theory. AI Magazine 20 (1999) 55–68

    Google Scholar 

  20. McGeachie, M.: Utility functions for ceteris paribus preferences. Master’s thesis, Massachusetts Institute of Technology, Cambridge, Massachusetts (2002) In preparation.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Doyle, J., McGeachie, M. (2003). Exercising Qualitative Control in Autonomous Adaptive Survivable Systems. In: Laddaga, R., Shrobe, H., Robertson, P. (eds) Self-Adaptive Software: Applications. IWSAS 2001. Lecture Notes in Computer Science, vol 2614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36554-0_12

Download citation

  • DOI: https://doi.org/10.1007/3-540-36554-0_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00731-9

  • Online ISBN: 978-3-540-36554-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics