Case-Based Reasoning

Dr. Andrew Broad
Computer Science
Case-Based Reasoning

Case-based reasoning (CBR) is the enterprise of solving new problems by analogy with old ones. Problems and their solutions are stored as cases, and to solve a new problem, a CBR system retrieves a case of a similar problem, and adapts its solution to solve the new problem.

Given the shortcomings of AI systems that reason only from first principles, I believe that CBR will be key to making computers more intelligent than man next century. For complex problems, CBR promises greater efficiency than solving problems from scratch. Cases can suggest solutions even to ill-defined problems in weak-theory domains for which there may be no adequate set of rules or hard-wired algorithms. CBR systems can learn from experience (by acquiring new cases), and so can improve their own efficiency and competence over time. Analogy is key to creativity, since new knowledge derives not from nowhere, but from a combination of old knowledge.

Although many of today's CBR systems use retrieval without automated adaptation, I firmly believe that the power of true CBR comes from the combination of retrieval and adaptation. Only by using both together will computers surpass all human capabilities. Adaptation will be the most major challenge for CBR over the coming decades.

  • "Case-Based Reasoning": an overview paper written by me
  • Proposed CS3461 Syllabus
  • CBR Bibliography

  • External links

  • AI-CBR
  • Institute for Learning Sciences
  • CISA 494 course at Loyola University

  • External links: Conferences and workshops

  • ICCBR 2001 (4th International Conference on CBR)
  • ES99 (19th SGES International Conference on KBS and Applied AI)
  • UKCBR4 (4th UK CBR Workshop, 1999)
  • ICCBR Home Page
  • ICCBR-99 (3rd International Conference on CBR)
  • EWCBR 98 (4th European Workshop on CBR)
  • ECAI 1996: Adaptation
  • AAAI 1995 Fall Symposium: Adaptation of Knowledge for Reuse

  • External links: Applications of CBR

  • Chris Price's CBR page (for CASPIAN)
  • CASUEL: A Common Case Representation Language
  • Broderbund - The GizmoTapper: contact Eric Levinson
  • Information Service Agents Lab at Simon Fraser University
  • Roger Schank's FTP directory (Inside Case-Based Reasoning)
  • Bruce Porter's FTP directory (Inside Case-Based Reasoning)

  • External links: Research-groups

  • Case-Based Reasoning at UMCS
  • CBR Group at the University of Massachusetts
  • University of Kaiserlautern CBR Home Page
  • IRST's CBR Home Page
  • CBR Group at Simon Fraser University

  • External links: People

  • Sanja Petrovic
  • Janet Kolodner
  • Barry Smyth
  • Mark Keane
  • Padraig Cunningham
  • Nick Filer
  • David Leake
  • Agnar Aamodt
  • Enric Plaza
  • Ralph Bergmann
  • Ian Watson
  • Manuela Veloso
  • David Aha
  • Michael Lehane
  • Amarnath Poola
  • Michel Jaczynski

  • Email me
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