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Case-based reasoning and expert system development

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Contemporary Knowledge Engineering and Cognition

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 622))

Abstract

As a supplementation to other papers within this chapter on case-based approaches to Knowledge Engineering, we discuss some general aspects of case-based reasoning. We differentiate it from other case-using approaches and argue for the use of case-based reasoners within integrated knowledge engineering environments.

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References

  1. Aamodt A. A Computational Model of Knowledge-Intensive Learning and Problem Solving. In: [WBG+90], pp 1–20

    Google Scholar 

  2. Aamodt A. A Knowledge-Intensive, Integrated Approach to Problem Solving and Sustained Learning. PhD. Thesis, University of Trondheim, 1991

    Google Scholar 

  3. Althoff K.-D., De la Ossa A., Maurer F., Stadler M., Weß S.: Adaptive Learning in the Domain of Technical Diagnosis. Proc. Workshop on Adaptive Learning, FAW Ulm, 1989

    Google Scholar 

  4. Aha DW. Case-Based Learning Algorithms. In: [Bar91], pp 147–158

    Google Scholar 

  5. Aha DW, Kibler D., Albert M.K. Instance-Based Learning Algorithms. Machine Learning, 6, pp 37–66, 1991

    Google Scholar 

  6. Althoff K-D. Eine fallbasierte Lernkomponente als integrierter Bestandteil der MOLTKE-Werkbank zur Diagnose technischer Systeme. Dissertation, University of Kaiserslautern (forthcoming)

    Google Scholar 

  7. Althoff K-D, Maurer F., Rehbold R. Multiple Knowledge Acquisition Strategies in MOLTKE. In: [WBG+90], pp 21–40

    Google Scholar 

  8. Anderson JR. A Theory of the Origins of Human Knowledge. Artificial Intelligence — Special Volume on Machine Learning, 40, pp 313–352, 1989

    Google Scholar 

  9. Althoff K-D, Weß S. Case-Based Knowledge Acquisition, Learning and Problem Solving for Diagnostic Real World Tasks. Proc. EKAW-91, 1991

    Google Scholar 

  10. Bareiss R. Exemplar-Based Knowledge Acquisition. Academic Press London, 1989

    Google Scholar 

  11. Bareiss R (ed). Proc. 3rd DARPA Workshop on Case-Based Reasoning, 1991

    Google Scholar 

  12. Bergmann R. Knowledge acquisition by generating skeletal plans from real world cases. In this volume

    Google Scholar 

  13. Barletta R, Mark W. Explanation-Based Indexing of Cases. Proc. AAAI-88, 1988

    Google Scholar 

  14. Branting LK, Porter BW. Rules and Precedents as Complementary Warrants. Proc AAAI-91, pp 3–9

    Google Scholar 

  15. Burstein MH. Analogy versus Case-Based Reasoning. In: [Ham89a], pp 133–136

    Google Scholar 

  16. de la Ossa A. Integrating Strategic Knowledge Acquisition and Reasoning About Change for Knowledge Adaptation. Proc. KAW-91, 1991

    Google Scholar 

  17. Fisher D. Noise-tolerant conceptual clustering. Proc. IJCAI-89, pp 825–830. Morgan Kaufmann, 1989

    Google Scholar 

  18. Hammond K (ed). Proc. of the 2nd DARPA Workshop on Case-Based Reasoning. Holliday Inn, Pensacola Beach: Morgan Kaufmann, 1989

    Google Scholar 

  19. Hammond K. Case-Based Planning. Academic Press London, 1989

    Google Scholar 

  20. Hinrichs TR, Kolodner JL. The Roles of Adaptation in Case-Based Design. In: [Bar91], pp 121–132

    Google Scholar 

  21. Janetzko D, Strube G. Case-based Reasoning and Model-based Knowledge Acquisition. In this volume

    Google Scholar 

  22. Kerber M. Some Aspects of Analogy in Mathematical Reasoning. SEKI-Report SR-89-12, University of Kaiserslautern, 1989

    Google Scholar 

  23. Kibler D, Aha DW. Learning Representative Exemplars of Concepts: An Initial Case Study. Proc. Fifth International Workshop on Machine Learning, Morgan Kaufmann, 1988

    Google Scholar 

  24. Kolodner JL. Retrieval and organizational strategies in conceptual memory: A computer model. PhD. Thesis, Yale University, 1980

    Google Scholar 

  25. Kolodner JL. Maintaining Organization in a Dynamic Long-Term Memory. Cognitive Science, 7, pp 243–280, 1983

    Google Scholar 

  26. Kolodner JL. Reconstructive Memory: A Computer Model. Cognitive Science, 7, pp 281–328, 1983

    Google Scholar 

  27. Kolodner JL. Retrieval and organizational strategies in conceptual memory. Hillsdale, NJ: Lawrence Erlbaum Associates, 1984

    Google Scholar 

  28. Kolodner JL (ed). Proc. of a DARPA Workshop on Case-Based Reasoning. Morgan Kaufmann Palo Alto, 1988

    Google Scholar 

  29. Kolodner JL. The Mediator: Analysis of an Early Case-Based Problem Solver. Cognitive Science, 13, pp 507–549, 1989

    Article  Google Scholar 

  30. Koton P. Reasoning about evidence in causal explanations. Proc. AAAI-88, 1988, pp 256–261

    Google Scholar 

  31. Kolodner JL, Simpson RL, Sycara KP. A process model of case-based reasoning in problem solving Proc. IJCAI-85, pp 284–290. Los Angeles, CA: Morgan Kaufmann, 1985

    Google Scholar 

  32. Michalski RS. Concept meaning, matching and cohesiveness. In: [VO89]

    Google Scholar 

  33. Morik K. Sloppy Modeling. In: [Mor89], pp 107–134, 1987

    Google Scholar 

  34. Morik K (ed). Knowledge Representation and Organization in Machine Learning. Springer Berlin Heidelberg New York, 1989

    Google Scholar 

  35. Morik K. Integrating Manual and Automatic Knowledge Acquisition-BLIP. In: McGraw & Westphal (eds). Readings in Knowledge Acquisition — Current Practices and Trends, pp 213–232, Ellis Horwood, 1990

    Google Scholar 

  36. Oehlmann R. Case-Based Theory Revision: Learning from Self-Questions and Experiments. Talk given at the University of Kaiserslautern, August 1991

    Google Scholar 

  37. Porter BW, Bareiss R, Holte RC. Concept Learning and Heuristic Classification in Weak-Theory Domains. Artificial Intelligence, 45, 1990

    Google Scholar 

  38. Puppe F, Goos K. Improving Case Based Classification with Expert Knowledge. Proc. GWAI-91, Springer, 1991

    Google Scholar 

  39. Puppe F. Problemlösungsmethoden in Expertensystemen. Springer Verlag, 1990

    Google Scholar 

  40. Rissland EL, Basu C, Daniels JL, McCarthy J, Rubinstein ZB, Skalag DB. A Blackboard-Based Architecture for Case-Based Reasoning: An Initial Report. In: [Bar91], pp 77–92

    Google Scholar 

  41. Richter MM. Prinzipien der Künstlichen Intelligenz. Teubner Verlag, 1989

    Google Scholar 

  42. Riesbeck CK, Schank RC. Inside Case-Based Reasoning. Lawrence Erlbaum Associates, 1989

    Google Scholar 

  43. Rissland EL, Skalag DB. Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach. Proc IJCAI-89, pp 524–530, 1989

    Google Scholar 

  44. Richter MM, Weß S. Similarity, Uncertainty and Case-Based Reasoning in PATDEX. Festschrift for Woody Bledsoe, Kluwer Academic Publishers, 1991

    Google Scholar 

  45. Salzberg S. A Nearest Hyperrectangle Learning Method. Machine Learning, 6, pp 251–276, 1991

    Google Scholar 

  46. Schmalhofer F, Bergmann R, Kühn O, Schmidt G. Using Integrated Knowledge Acquisition to Prepare Sophisticated Expert Plans for Their Re-Use in Novel Situations. Proc. GWAI-91, 1991

    Google Scholar 

  47. Schank RC. Dynamic Memory: A Theory Of Learning in Computers and People. Cambridge, UK: Cambridge University Press, 1982

    Google Scholar 

  48. Shavlik JW, Dietterich TG (eds). Readings in Machine Learning. San Mateo: Morgan Kaufmann, 1990

    Google Scholar 

  49. Simpson RL. A Computer Model of Case-Based Reasoning in Problem Solving. PhD. Thesis, Techn. Rep. GIT-ICS/85/18, Georgia Inst. of Technology, 1985

    Google Scholar 

  50. Sharma S, Sleeman D. REFINER: A Case-Based Differential Diagnosis Aide for Knowledge Acquisition and Knowledge Refinement. Proc. EWSL-88, pp 201–210, 1988

    Google Scholar 

  51. Slade S. Case-Based Reasoning: A Research Paradigm. AI Magazine Spring 1991

    Google Scholar 

  52. Strube G. Episodisches Wissen. Arbeitspapiere der GMD, 385, pp 10–26, 1989

    Google Scholar 

  53. Stanfill C, Waltz D. The memory based reasoning paradigm. In: [Ko188], pp 414–424

    Google Scholar 

  54. Strube G, Janetzko D. Episodisches Wissen und fallbasiertes Schließen: Aufgaben für die Wissensdiagnostik und die Wissenspsychologie. Schweizerische Zeitschrift für Psychologie, 49 (4), pp 211–221, 1990

    Google Scholar 

  55. Sycara KP. Case-Based Reasoning. Overview of an course in case-based reasoning at the European Summer School on Machine Learning, 1991

    Google Scholar 

  56. van Someren MW, Zheng LL, Post W. Cases, Models or Compiled Knowledge: a Comparative Analysis and Proposed Integration. In: [WBG+90], pp 339–355

    Google Scholar 

  57. Tou JT. Application of pattern recognition to knowledge system design and diagnostic inference. Pattern Recognition — Theory and Application. Reidel D Publishing, 1981

    Google Scholar 

  58. Veloso M, Carbonell JG. Learning Analogies by Analogy — The Closed Loop of Memory Organization and Problem Solving. In: [Ham89a]

    Google Scholar 

  59. Veloso M, Carbonell JG. Learning by Analogical Replay in PRODIGY: First Results. In: Proc. EWSL-1991, pp 375–390

    Google Scholar 

  60. Veloso M, Carbonell JG. Variable-Precision Case Retrieval in Analogical Problem Solving. In: [Bar91]

    Google Scholar 

  61. Vosniadou S, Ortony A (eds). Similarity and Analogical Reasoning. Cambridge University Press, 1989

    Google Scholar 

  62. Wielinga BJ, Boose J, Gaines B et al. Current Trends in Knowledge Acquisition (Proc. EKAW-90). IOS Press Amsterdam, 1990

    Google Scholar 

  63. Weß S. PATDEX/2: ein System zum adaptiven, fallfokussierenden Lernen in technischen Diagnosesituationen. SEKI Working Paper SWP-91-01, University of Kaiserslautern, 1991

    Google Scholar 

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Authors and Affiliations

  1. Dept. of Computer Science, University of Kaiserslautern, P.O. Box 3049, D-6750, Kaiserslautern, Federal Republic of Germany

    Klaus -Dieter Althoff & Stefan Weß

Authors
  1. Klaus -Dieter Althoff
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  2. Stefan Weß
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Franz Schmalhofer Gerhard Strube Thomas Wetter

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© 1992 Springer-Verlag Berlin Heidelberg

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Althoff, K.D., Weß, S. (1992). Case-based reasoning and expert system development. In: Schmalhofer, F., Strube, G., Wetter, T. (eds) Contemporary Knowledge Engineering and Cognition. Lecture Notes in Computer Science, vol 622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045688

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  • DOI: https://doi.org/10.1007/BFb0045688

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  • Print ISBN: 978-3-540-55711-1

  • Online ISBN: 978-3-540-47277-3

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