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Case-Based Reasoning

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Machine Learning and Its Applications (ACAI 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2049))

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Abstract

This chapter contains an overview of Case-Based Reasoning (CBR). The main goal is to have a balance between brevity and expressiveness and to provide helpful pointers to literature in the field. To do so, we first describe the CBR types and the CBR cycle, then we briefly review a representative set of systems, next we discuss the connections between CBR and learning. The main part of the chapter analyses the most important issues and problems of the CBR components, such as indexing/retrieval/selection, memory organization, adaptation/evaluation, forgetting, and integration with other techniques. Finally, we discuss the added value of incorporating fuzzy techniques in CBR and briefly describe some representative Fuzzy-CBR systems.

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References

  1. Aamodt A. (1990). Knowledge-intensive case-based reasoning and sustained learning. Poceedings European Conference on Artificial Intelligence, Pitman, 1–6.

    Google Scholar 

  2. Aamodt A. (1991). A knowledge-intensive approach to problem solving and sustained learning. Ph.D. Thesis, University of Trondheim, Norwegian Institute of Technology.

    Google Scholar 

  3. Aamodt A. and Plaza E. (1994). Case-based reasoning: foundational issues, methodological variations and system approaches. AI Communications 7(1), 39–59.

    Google Scholar 

  4. Aarts R.J. and Rousu J. (1997). Qualitative knowledge to support reasoning about cases. In (Leake and Plaza, eds.) In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 489–498.

    Google Scholar 

  5. Aha D., Kibler D., Albert M.K. (1991). Instance-based learning algorithms. Machine Learning Journal 6, 37–66.

    Google Scholar 

  6. Aha D.W. and Chang L.W. (1996). Cooperative bayesian and case-based reasoning for solving multiagent planning tasks. Technical Report AIC-96-005, Navy Center for Applied Research in AI NRL, Washington D.C.

    Google Scholar 

  7. Althoff K.D. (1989). Knowledge acquisition in the domain of CBC machine centres: the MOLTKE approach. In Proceedings European Knowledge Acquisition Workshop (EKAW-89), 180–195.

    Google Scholar 

  8. Althoff K.D. and Wess S. (1991). Case-based knowledge acquisition, learning and problem solving in diagnostic real world tasks. In Proceedings European Knowledge Acquisition Workshop (EKAW-91).

    Google Scholar 

  9. An A., Cercone N., and Chan C. (1997). Integrating rule induction and case-based reasoning to enhance problem solving. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 499–508.

    Google Scholar 

  10. Arcos J.L. and Lopez de Mantaras R. (1997). Perspectives: A declarative bias mechanism for case retrieval. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 279–290.

    Google Scholar 

  11. Arcos J.L., Lopez de Mantaras R., and Serra X. (1997b). SaxEx: A case-based reasoning system for generating expressive musical performances. In Proceedings of the 1997 International Computer Music Conference, Thessaloniki, Greece, 25–30 September 1997, pp. 329–336.

    Google Scholar 

  12. Arcos J.L., Lopez de Mantaras R., and Serra X. (1998). Saxex: A case-based reasoning system for generating expressive musical performances. Journal of New Music Research 27(3), 194–210.

    Article  Google Scholar 

  13. Armengol E. and Plaza E. (1993). A Knowledge Level Model of Case-based reasoning. First European Workshop on Case-Based Reasoning. Springer Verlag LNAI 837, 63–64.

    Google Scholar 

  14. Armengol E. and Plaza E. (1994). Integrating induction in a case-based reasoner. Second European Workshop on Case-Based Reasoning. Springer Verlag LNAI 984, 3–17.

    Google Scholar 

  15. Ashley K.D. (1988). Arguing by analogy in Law: A case-based model. In (Helman ed.) Analogical Reasoning: Perspectives of Artificial Intelligence, Cognitive Science, and Philosophy. Reidel.

    Google Scholar 

  16. Bain W. (1986). Case-based reasoning: A computer model of subjective assessment. Ph.D. Thesis. Yale University.

    Google Scholar 

  17. Bamberger S.K. and Goos K. (1993). Integration of case-based reasoning and inductive learning methods. In (Richter, Wess, Althoff, Maurer, eds.) Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12 University of Kaiserslautern Press. Vol.2, 296–300.

    Google Scholar 

  18. Bareiss E.R., Porter B., Weir C.C. (1988). PROTOS: An exemplar-based learning apprentice. Int. J. of Man-Machine Studies 29, 549–561.

    Article  Google Scholar 

  19. Barletta R. and Hennessy D. (1989). Case adaptation in autoclave layout design. In Hammond (ed.): Proceedings Second Workshop on Case-Based Reasoning, Pensacola Beach, Florida, Morgan-Kauffman, 203-207.

    Google Scholar 

  20. Barletta R., Mark W. (1988). Explanation-based indexing of cases. Proceedings AAAI-88, Cambridge, AAAI/Morgan Kaufmann, 541–546.

    Google Scholar 

  21. Bento C. and Costa E. (1993). A similarity metric for retrieval of cases imperfectly described and explained. In Proceedings First European Workshop on Case-Based Reasoning. Vol. 1, 8–13.

    Google Scholar 

  22. Bhatta S.R. and Goel A.K. (1997). An analogical theory of creativity in design. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 565–574.

    Google Scholar 

  23. Bonzano A., Cunningham P. and Smyth B. (1997). Using introspective learning to improve retrieval in CBR: A case study in air traffic control. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 291–302.

    Google Scholar 

  24. Bonissone P., Blau L. and Ayub S. (1990). Leveraging the integration of approximate reasoning systems. In Proceedings 1990 AAAI Spring Symposium in Case Based Reasoning, Stanford, California, 1–6.

    Google Scholar 

  25. Bonissone P. and Ayub S. (1992). Similarity measures for case-based reasoning systems. In Proceedings of the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-92), Universitat Illes Balears Press, 483–487.

    Google Scholar 

  26. Borner K. (1993). Structural similarity as guidance in case-based design. First European Workshop on Case-Based Reasoning, Springer-Verlag, LNAI 837, 197–208.

    Google Scholar 

  27. Bradshaw G. (1987). Learning about speech sounds: The NEXUS project. Proceedings Fourth Int. Workshop on Machine Learning, Irvine, Morgan Kauffmann, 1–11.

    Google Scholar 

  28. Branting L.K. (1988). The role of explanation in reasoning from legal precedent. In Kolodne (ed.): Proceedings Case-Based Reasoning Workshop, Clearwater Beach, Florida, Morgan-Kaufmann, 94–103.

    Google Scholar 

  29. Branting L.K. and Porter B.W. (1991). Rules and precedents as complementary warrants. Proceedings AAAI-91. AAAI/Morgan Kaufmann, 3–9.

    Google Scholar 

  30. Breese J.S. and Heckerman D. (1995). Decision-theoretic case-based reasoning. In Proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, USA, 56–63.

    Google Scholar 

  31. Bunke H., Messmer B.T. (1993). Similarity measures for structured representations. First European Workshop on Case-Based Reasoning, Springer-Verlag LNAI 837, 106–118.

    Google Scholar 

  32. Cain T., Pazzani M.J. and Silverstein G. (1991). Using domain knowledge to influence similarity judgment. Proceedings Case-Based Reasoning Workshop, Washington Morgan Kaufmann, 191–202.

    Google Scholar 

  33. Carbonell J. (1983). Learning by analogy: Formulating and generalizing plans from past experience. In (Michalski, Carbonel and Mitchell, eds), Machine Learning: An Artificial Intelligence Approach, Tioga, Palo Alto, 137–161.

    Google Scholar 

  34. Carbonell J., Knoblock C.A. and Minton S. (1991). PRODIGY: An integrated architecture for planning and learning. In (Kurt Van Lehn ed.) Architectures for Intelligence, The Twenty-Second Carnegie Mellon Symposium on Cognition, Erlbaum Publ.

    Google Scholar 

  35. Chang L. and Harrison D. (1997). A case-based reasoning testbed for experiments in adaptive memory retrieval and indexing. In Proceedings of the AAAI Fall Symposium on Adaptation of Knowledge for Reuse, Menlo Park, AAAI Press.

    Google Scholar 

  36. Chatterjee N. and Campbell J. (1993). Adaptation through interpolation for time-critical case-based reasoning. First European Workshop on Case-Based Reasoning, Springer Verlag LNAI 837, 221–233.

    Google Scholar 

  37. Cheetham W. and Graf J. (1997) In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 1–12.

    Google Scholar 

  38. Clark P.E. (1989). Exemplar-based reasoning in geological prospect appraisal. Technical Report 89-034, University of Stratchclyde, Turing Institute.

    Google Scholar 

  39. Collins G. (1987). Plan creation: Using strategies as blueprints. Ph.D. Thesis. Yale University.

    Google Scholar 

  40. Connolly D. and Christey S. (1993). Learning representation by integrating case-based and inductive learning. Proceedings AAAI Case-Based Reasoning Workshop, Washington, 147–159.

    Google Scholar 

  41. Cost S. and Salzberg S. (1990). A weighted nearest neighbor algorithm for learning with symbolic features. Technical Report JHU-90/11, The John Hopkins University, Dept. of Computer Science.

    Google Scholar 

  42. Dave B., Schmitt G., Shih S.G., Bendel L., Faltings B., Smith I., Hua K., Bailey S., Ducret J.M., Jent K. (1994). Case-based spatial design reasoning. In (Haton, Keane, Manago eds.) Adavances in Case-Based Reasoning: Proceedings of the Second European Workshop (EWCBR-94). Lecture Notes in Artificial Intelligence 984, Springer Verlag, 198-210.

    Google Scholar 

  43. Deters R.D. (1994). CBR for maintenance of telecommunication networks. Preprints Second European Workshop on Case-Based Reasoning, AcknoSoft Press, 23–32.

    Google Scholar 

  44. Dubois D., Prade H. and Testemale C. (1988). Weighted fuzzy pattern matching. Fuzzy Sets and Systems, 28, 351–362.

    Article  MathSciNet  Google Scholar 

  45. Dubois D. and Prade H. (1992). Fuzzy rules in knowledge-based systems: Modelling gradedness, uncertainty and preference. In: An introduction to Fuzzy Logic Applications in Intelligent Systems (R.R. Yager and L.A. Zadeh, eds.), Kluwer. 45–68.

    Google Scholar 

  46. Dubois D. and Prade H (1995). Possibility theory as a basis for qualitative decision theory. In Proceedings IJCAI-95, Montreal, 1924–1930.

    Google Scholar 

  47. Dubois D., Esteva F., Garcia P., Godo L., Lopez de Mantaras R. and Prade H. (1997). Fuzzy modelling of case-based reasoning and decision. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 599–610.

    Google Scholar 

  48. Dubois D., Esteva F., Garcia P., Godo L., Lopez de Mantaras R. and Prade H. (1998). Fuzzy set modelling in case-based reasoning. International Journal of Intelligent Systems 13, 345–373.

    Article  MATH  Google Scholar 

  49. Faltings B. (1997). Probabilistic indexing for case-based prediction. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 611–622.

    Google Scholar 

  50. Faltings B., Hua K., Schmitt G. and Shih S.G. (1991). Case-based representation of architectural design knowledge. Proceedings Case-Based Reasoning Workshop, Washington, Morgan Kaufmann, 307–316.

    Google Scholar 

  51. Finnie G.R., Wittig G.W. and Desharnais J.M. (1997). Estimating software development effort with case-based reasoning. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 13–22.

    Google Scholar 

  52. Fox S. and Leake D.B. (1995). Learning to refine indexing by introspective reasoning. In (Veloso and Aamodt, eds.) Case-Based Reasoning Research and Development, Proceedings First Int. Conference on Case-Based Reasoning, ICCBR-95, LNAI 1010, Springer, 431–440.

    Google Scholar 

  53. Francis A.G. and Ram A. (1993). The utility problem in case-based reasoning. Proceedings AAAI Case-Based Reasoning Workshop, Washington, 160–167.

    Google Scholar 

  54. Goel A. and Chandrasekaran B. (1989). Use of device models in adaptation of design cases. In Proceedings Second Workshop on case-based reasoning, Pensacola Beach, Florida, Morgan-Kauffman, 100–109.

    Google Scholar 

  55. Goldweic P. and Hammond K.J. (1993). Multi-agent interactions: A vocabulary of engagement. Representation issues in multimedia case retrieval, In Proceedings AAAI Case-Based Reasoning Workshop, Washington, 48–56.

    Google Scholar 

  56. Gomes P. and Bento C. (1997). A case-based approach for elaboration of design requirements. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 33–42.

    Google Scholar 

  57. Hammond K. (1986). CHEF: A model of case-based planning. Proceedings of AAAI-86.AAAI/Morgan Kaufmann. 267–271.

    Google Scholar 

  58. Hammond K. (1987). Explaining and repairing plans that fail. IJCAI-87, 109–114.

    Google Scholar 

  59. Hanney K. and Keane M.T. (1997). The adaptation knowledge bottleneck: How to easy it by learning from cases. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 359–370.

    Google Scholar 

  60. Hinrichs T.R. (1988). Towards an architecture for open world problem solving. In Kolodner (ed.): Proceedings Case-Based Reasoning Workshop, Clearwater Beach, Florida, Morgan-Kaufman, 182–189.

    Google Scholar 

  61. Hinrichs T.R. (1989). Strategies for adaptation and recovery in a design problem solver. In Hammond (ed.): Proceedings Second Workshop on case-based reasoning, Pensacola Beach, Florida, Morgan-Kaufmann, 115–118.

    Google Scholar 

  62. Hinrichs T.R. and Kolodner J. (1991). The roles of adaptation in case-based design. Proceedings Case-Based Reasoning Workshop, Washington, 121–132.

    Google Scholar 

  63. Howe N. and Cardie C. (1997). Examining locally varying weights for nearest neighbor algorithms. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 455–466.

    Google Scholar 

  64. Jabbour K., Riveros J.F., Landsbergen D. and Meyer W. (1987). ALFA: Automated load forecasting assistant. In Proceedings IEEE Power Engineering Society Summer Meeting. San Francisco.

    Google Scholar 

  65. Jaczynski M. and Trousse B. (1994). Fuzzy Logic for the retrieval step of a case-based reasoner. Preprints Second European Workshop on Case-Based Reasoning, AcknoSoft Press, 313–322.

    Google Scholar 

  66. Jarmulak J., Kerckhoffs J.H. and van’t Veen P.P. (1997). Case-based reasoning in an ultrasonic rail-inspection system. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 43–52.

    Google Scholar 

  67. Karacapilidis N., Trousse B. and Papadias D. (1997). Using case-based reasoning for argumentation with multiple viewpoints. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 541–552.

    Google Scholar 

  68. Kibler D. and Aha D. (1988). Case-based classification. Proceedings of the AAAI Case-Based Reasoning Workshop, Minneapolis.

    Google Scholar 

  69. Kolodner J. (1983). Reconstructive memory, a computer model. Cognitive Science 7, 281–328.

    Article  Google Scholar 

  70. Kolodner J., Sympson R.L. and Sycara K. (1985). A process model of case-based reasoning in problem solving. In IJCAI-85, 284–290.

    Google Scholar 

  71. Kolodner J. (1987). Capitalizing on failure through case-based inference. Proceedings Ninth Annual Conference of the Cognitive Science Society, Erlbaum.

    Google Scholar 

  72. Kolodner J. (1988). Retrieving events from a case memory: A parallel implementation. In Kolodner (ed.): Case-Based Reasoning. Proceedings from a Workshop, Clearwater Beach, Florida, Morgan-Kaufmann, 233–249.

    Google Scholar 

  73. Kolodner J. (1993). Case-based Reasoning. Morgan-Kauffman.

    Google Scholar 

  74. Koton P. (1988). Using experience in learning and problem solving. Ph.D. Thesis. Computer Science Dept. MIT.

    Google Scholar 

  75. Krampe D. and Lusti M. (1997). Case-based reasoning for information systems design. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 63–73.

    Google Scholar 

  76. Leake D.B. (1996). Case-Based Reasoning: Experiences, Lessons and Future Directions. AAAI Press/ The MIT Press.

    Google Scholar 

  77. Leake D. B., Kinley A., and Wilson D. (1997). A case study of case-based CBR. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 371–382.

    Google Scholar 

  78. Lebowitz M. (1987). Experiments with incremental concept formation: UNIMEM. Machine Learning 2, 103–138.

    Google Scholar 

  79. Lopez B. (1993). Reactive planning through the integration of a case-based system and a rule-based system. In (Sloman et al. ed.) Prospects for Artificial Intelligence, IOS Press, 189–198.

    Google Scholar 

  80. Lopez B. and Plaza E. (1993). Case-based learning of strategic knowledge. In (Kodratoff ed.) Machine Learning EWSL-91, Lecture Notes in Artificial Intelligence, Springer-Verlag, 398–411.

    Google Scholar 

  81. Macedo L., Pereira F.C., Grilo C. and Cardoso A. (1997). Experimental study of a similarity metric for retrieving pieces from structured plan cases: Its role in the originality of plan case solutions. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 575–586.

    Google Scholar 

  82. Magaldi R. (1994). Maintaining airplanes using CBR. Preprints Second European Workshop on Case-Based Reasoning, AcknoSoft Press, 1–12.

    Google Scholar 

  83. Malek M. and Rialle V. (1994). A Case-based reasoning system applied to neuropathy diagnosis. Second European Workshop on Case-Based Reasoning. Springer Verlag LNAI 984. 255–265.

    Google Scholar 

  84. Manago M., Althoff K-D., Auriol E., Traphoner R., Wess S., Conruyt N. and Maurer F. (1993). Induction and reasoning from cases. In Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12, University of Kaiserslautern Press, 313–318.

    Google Scholar 

  85. Moore A.W. (1990). Acquisition of dynamic control knowledge for a robotic manipulator. Proceedings Seventh Int. Conference on Machine Learning, Austin, Morgan Kauffmann, 244–252.

    Google Scholar 

  86. Myllymäki P. and Tirri H. (1994). Massively parallel case-based reasoning with probabilistic similarity metrics. In (Althoff et al. eds.) Topics in Case-Based Reasoning, Lecture Notes in Artificial Intelligence 837, Springer-Verlag, 144–154.

    Google Scholar 

  87. Nakatani Y. and Israel D. (1993). Tuning rules by cases. In First European Workshop on Case-Based Reasoning, Springer-Verlag, LNAI 837, 313–324.

    Google Scholar 

  88. Osborne H. and Bridge D. (1997). Similarity metrics: A formal unification of cardinal and non-cardinal similarity measures. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 235–244.

    Google Scholar 

  89. Pearce M., Ashok K.G., Kolodner J.L., Zimring C., Billington R. (1992). Case-based support-A case study in architectural design. IEEE Expert 7(5), 14–20

    Article  Google Scholar 

  90. Pews G. and Wess S. (1993). Combining case-based and model-based approaches for diagnostic applications in technical domains. In (Richter, Wess, Althoff, Maurer, eds.) Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12, University of Kaiserslautern Press, Vol.2, 325–328.

    Google Scholar 

  91. Plaza E. and Arcos J-L. (1993). A reflective architecture for integrated memory-based learning and reasoning. In Proceedings First European Workshop on Case-Based Reasoning. Vol.2, 329–334.

    Google Scholar 

  92. Plaza E. and Lopez de Mantaras R. (1990). A case-based apprentice that learns from fuzzy examples. In (Ras, Zemankova and Emrich ed.) Methodologies for Intelligent Systems 5. Elsevier, 420–427.

    Google Scholar 

  93. Poole J. (1993). Similarity in legal case-based reasoning as degree of matching between conceptual graphs: Work in progress. In (Richter, Wess, Althoff, Maurer, eds.) Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12, University of Kaiserslautern Press, Vol. 1, 54–58.

    Google Scholar 

  94. Porter B. (1986). PROTOS: an experiment in knowledge acquisition for heuristic classification tasks. Proceedings First Int. Meeting on Advances in Learning, Les Arcs, France, 159–174.

    Google Scholar 

  95. Portinale L., Torasso P., Ortalda C. and Giardino A. (1993). Using case-based reasoning to focus model-based diagnostic problem solving. In (Richter, Wess, Althoff, Maurer, eds.) Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12, University of Kaiserslautern Press, Vol.2, 335–340.

    Google Scholar 

  96. Portinale L., Torasso P. and Magro D. (1997). Selecting most adaptable diagnostic solutions through pivoting-based retrieval. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 393–402.

    Google Scholar 

  97. Purvis L. and Athalye S. (1997). Towards improving case adaptability with a genetic algorithm. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 403–412.

    Google Scholar 

  98. Racine K. and Yang Q. (1997). Maintaining unstructured case bases. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 553–564.

    Google Scholar 

  99. Richards B.L. (1994). Qualitative models as a basis for case indices. In Second European Workshop on Case-Based Reasoning. Springer Verlag, LNAI 984, 126–135.

    Google Scholar 

  100. Rissland E.L. and Skalak D.B. (1991). CABARET: Rule interpretation in a hybrid architecture. Int. J. of Man-Machine Studies 34, 839–887.

    Article  Google Scholar 

  101. Rissland E.L. and Ashley K.D. (1988). Credit assignment and the problem of competing factors in case-based reasoning. In Kolodner (ed.): Case-Based Reasoning. Proceedings from a Workshop, Clearwater Beach, Florida, Morgan-Kauffman Publ.

    Google Scholar 

  102. Rissland E.L., Skalak D.B. and Timur Friedman M. (1993). Using heuristic search to retrieve cases that support arguments. Proceedings AAAI Case-Based Reasoning Workshop, Washington, 5–11.

    Google Scholar 

  103. Rodriguez A.F., Vadera S. and Sucar L.E. (1997). A probabilistic model for case-based reasoning. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 623–632.

    Google Scholar 

  104. Rougerez S. (1993). A similarity-assessment algorithm based on comparisons between events. In (Richter, Wess, Althoff, Maurer, eds.) Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12, University of Kaiserslautern Press, Vol. 1, 59–64.

    Google Scholar 

  105. Salotti S. (1992). Filtrage flou et representation centree objet pour raisonner par analogie: le systeme FLORAN. PhD thesis, University of Paris VI.

    Google Scholar 

  106. Salzberg S. (1990). Learning with nested generalized exemplars. Kluwer.

    Google Scholar 

  107. Sanders K.E., Kettler B.P. and Hendler J.A. (1997). The case for graph-structured representations. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 245–254.

    Google Scholar 

  108. Schank R. (1982). Dynamic Memory: A theory of learning in computers and people. Cambridge University Press.

    Google Scholar 

  109. Schmidt-Belz B. and Voss A. (1993) Case-oriented knowledge acquisition for architectural design. Proceedings AAAI Case-Based Reasoning Workshop, 168–175.

    Google Scholar 

  110. Schweizer B. and Sklar A. (1963). Associative functions and abstract semi-groups. Publicationes Mathematicae Debrecen, 10, 69–81.

    MathSciNet  Google Scholar 

  111. Sebag M. and Schoenauer M. (1993). A rule-based similarity measure. In First European Workshop on Case-Based Reasoning, Springer Verlag, LNAI 837, 119–131.

    Google Scholar 

  112. Sharma S. and Sleeman D. (1988). REFINER: A case-based differential diagnosis aide for knowledge acquisition and knowledge refinement. Proceedings European Working Session on Learning.

    Google Scholar 

  113. Simina M. and Kolodner J. (1997). Creative design: Reasoning and understanding. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 587–598.

    Google Scholar 

  114. Smyth B. and Keane M.T. (1993). Retrieving adaptable cases: The role of adaptation knowledge in case retrieval. In First European Workshop on Case-Based Reasoning, Springer Verlag, LNAI 837, 209–220.

    Google Scholar 

  115. Stanfill C. (1987). Memory-based reasoning applied to English pronunciation. Proceedings AAAI-87, Seattle, 577–581.

    Google Scholar 

  116. Surma J. (1994). Enhancing similarity measures with domain specific knowledge. Preprints Second European Workshop on Case-Based Reasoning, AcknoSoft Press, 365–372.

    Google Scholar 

  117. Sycara E.P. (1987). Resolving adversarial conflicts: an approach to integrating casebased and analytic methods. Ph. D. Thesis, Georgia Tech.

    Google Scholar 

  118. Sycara K. (1988). Using case-based reasoning for plan adaptation and repair. In Kolodner (ed.): Case-Based Reasoning. Proceedings from a Workshop, Clearwater Beach, Florida, Morgan-Kaufmann, 425–434.

    Google Scholar 

  119. Tautz C. and Althoff K-D. (1997). Using case-based reasoning for reusing software knowledge. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 156–165.

    Google Scholar 

  120. Turner S.R. (1993). A case-based model of creativity. Proceedings AAAI Spring Symposium on Artificial Intelligence and Creativity. 137–144.

    Google Scholar 

  121. Veloso M. (1992). Learning by analogical reasoning in general problem solving. Ph.D. Thesis. Carnegie Mellon University.

    Google Scholar 

  122. Veloso M. and Carbonell J. (1991). Variable-precision case retrieval in analogical problem solving. Proceedings Case-Based Reasoning Workshop, Washington, Morgan Kaufmann, 93–108.

    Google Scholar 

  123. Watson I. (1997). Applying Case-Based Reasoning: Techniques for enterprise systems. Morgan Kaufmann.

    Google Scholar 

  124. Watson I. and Perera S. (1997). The evaluation of a hierarchical case representation using context guided retrieval. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 255–266.

    Google Scholar 

  125. Weber-Lee R., Miranda-Barcia R., da Costa M.C., Rodrigues-Filho I.W., Hoeschl H.C., D’Agostini-Bueno T.C., Martins A. and Pacheco R.C. (1997). A large case-based reasoner for legal cases. In Proceedings of the Second International Conference on Case-Based Reasoning (ICCBR-97). Lecture Notes in Artificial Intelligence 1266, Springer-Verlag, 190–199.

    Google Scholar 

  126. Wettschereck D., Aha D. W. and Mohri T. (1997). A review and empirical evaluation of feature weighting methods for a class of lazy learning algorithms. Artificial Intelligence Review, 11(1-5), 273–314.

    Article  Google Scholar 

  127. Zeleznikow J., Hunter D. and Vossos G. (1993). Integrating rule-based and case-based reasoning with information retrieval: The IKBALS project. In (Richter, Wess, Althoff, Maurer, eds.) Preprints First European Workshop on Case-Based Reasoning. SEKI-Report SR-93-12 University of Kaiserslautern Press, Vol.2, 341–346.

    Google Scholar 

  128. Zeyer F. and Weiss M. (1993). Similarity-based adaptation and its application to the case-based redesign of local area networks. In Preprints First European Workshop on Case-Based Reasoning, SEKI-Report SR-93-12, University of Kaiserslautern Press, 125–130.

    Google Scholar 

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  1. CSIC-Spanish Scientific Research Council, IIIA-Artificial Intelligence Research Institute, Spain

    Ramon Lopez de Mantaras

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  1. Ramon Lopez de Mantaras
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  1. National Centre for Scientific Research “Demokritos”, Institute of Informatics and Telecommunications, P.O. Box 60228, Ag. Paraskevi, 15310, Athens, Greece

    Georgios Paliouras , Vangelis Karkaletsis  & Constantine D. Spyropoulos ,  & 

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de Mantaras, R.L. (2001). Case-Based Reasoning. In: Paliouras, G., Karkaletsis, V., Spyropoulos, C.D. (eds) Machine Learning and Its Applications. ACAI 1999. Lecture Notes in Computer Science(), vol 2049. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44673-7_6

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  • DOI: https://doi.org/10.1007/3-540-44673-7_6

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