Conversational Case-Based Reasoning in Self-healing and Recovery

  • David McSherry
  • Sa’adah Hassan
  • David Bustard
Conference paper

DOI: 10.1007/978-3-540-85502-6_23

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5239)
Cite this paper as:
McSherry D., Hassan S., Bustard D. (2008) Conversational Case-Based Reasoning in Self-healing and Recovery. In: Althoff KD., Bergmann R., Minor M., Hanft A. (eds) Advances in Case-Based Reasoning. ECCBR 2008. Lecture Notes in Computer Science, vol 5239. Springer, Berlin, Heidelberg

Abstract

Self-healing and recovery informed by environment knowledge (SHRIEK) is an autonomic computing approach to improving the robustness of computing systems. Case-based reasoning (CBR) is used to guide fault diagnosis and enable learning from experience, and rule-based reasoning to enable fault remediation and recovery informed by environment knowledge. Focusing on the role of conversational CBR (CCBR) in the management of faults that rely on user interaction for their detection and diagnosis, we present a hypothesis-driven approach to question selection in CCBR that aims to increase the transparency of CCBR dialogues by enabling the system to explain the relevance of any question the user is asked. We also present empirical results which suggest that there is no loss of problem-solving efficiency in the approach. Finally, we investigate the effects of the environment awareness provided by autonomous information gathering in SHRIEK on the efficiency of CCBR dialogues.

Keywords

Autonomic computing self-healing environment awareness fault management case-based reasoning explanation transparency 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • David McSherry
    • 1
  • Sa’adah Hassan
    • 2
  • David Bustard
    • 1
  1. 1.School of Computing and Information EngineeringUniversity of UlsterColeraineNorthern Ireland
  2. 2.Faculty of Computer Science and Information TechnologyUniversity Putra Malaysia, 43400 UPM SerdangSelangorMalaysia

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