Case-Based Reasoning: A Review

The Knowledge Engineering Review

Volumn 9, Issue 4, 1994, Pages 327-354

  Watson, Ian ^a   Marir, Farhi ^a  

^a UNIVERSITY OF SALFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84974334700     PISSN: 02698889     EISSN: 14698005     Source Type: Journal    
DOI: 10.1017/S0269888900007098     Document Type: Article

References (99)

1. Aamodt, A., 1989. “Towards robust expert systems that learn from experience—an architectural framework”. In: J Boose, B Gaines, J-G Ganascia (eds.), EKAW-89; Third European Knowledge Acquisition for Knowledge-Based Systems Workshop, pp 311–326.
2. Aamodt, A., 1991. A knowledge intensive approach to problem solving and sustained learning. Ph.D dissertation, University of Trondheim, Norwegian Institute of Technology, May.
3. Aamodt, A. and Plaza, E., 1994. “Case-based reasoning: foundational issues, methodological variations, and system approaches”. Al Communications 7(1) 39–59.
4. Acorn, T. and Walden, S., 1992. “SMART: Support management cultivated reasoning technology Compaq customer service”. In: Proceedings of AAAI-92. AAAI Press/MIT Press.
5. Alexander, J.H., Freiling, M.J., Shulman, S.J., Staley, J.L., Rehfuss, S. and Messick, S.L., 1986. “Knowledge level engineering: ontological analysis”. AAAI-86 21 963–968.
6. Alterman, R., 1986. “An adaptive planner”. In: Proceedings of AAAI-86. AAAI Press/MIT Press.
7. Alterman, R., 1988. “Adaptive planning”. Cognitive Science 12 393–422.
8. Alterman, R., 1989. “Panel discussion on case representation”. In: Proceedings Second Workshop on Case-Based Reasoning. Pensacola Beach, FL.
9. Althoff, K.D., 1989. “Knowledge acquisition in the domain of CBC machine centres: the MOLTKE approach”. In: EKAW-89, Third European Workshop on Knowledge-Based Systems, J Boos, B Gaines and JG Ganascia (eds.), pp 180–195.
10. Aleven, V. and Ashley, K.D., 1992. “Automated generation of examples for a tutorial in case-based argumentation”. In: C Frasson, G Gauthier and GI McCallan (eds.), Proceedings Second International Conference of Intelligent Tutoring Systems (ITS92). Springer-Verlag.
11. Ashley, KD, 1988. “Arguing by analogy in law: a case-based model”. In: DH Helman (Ed.), Analogical Reasoning: Perspectives of Artificial Intelligence, Cognitive Science, and Philosophy. Reidel.
12. Bachant, J. and McDermott, J. 1984. “R1 revisited: four years in the trenches”. The Al Magazine 5(3).
13. Bain, WM, 1986. Case-based reasoning: a computer model for subjective assessment. Ph.D thesis, Yale University.
14. Bareiss, E.R., 1988. PROTOS: A. unified approach to concept representation, classification, and learning. Ph.D thesis, Department of Computer Science, University of Texas.
15. Barletta, R. and Mark, W., 1988. “Explanation-based indexing of cases”. In: Proceedings Seventh National Conference on Artificial Intelligence. Minneapolis, MN.
16. Barletta, R., 1991. “An introduction to case-based reasoning”. Al Expert August, 42–49.
17. Bench-Capon, T.J.M. and Coenen, F., 1992. “The maintenance of legal knowledge based systems”. Al Review 6 129–143.
18. Birnbaum, L. and Collings, G., 1989. “Remindings and engineering design themes: a case study in indexing vocabulary”. In: Proceedings of Second Workshop on Base-Based Reasoning. Pensacola Beach, FL.
19. Boose, J.H., 1989. “A survey of knowledge acquisition techniques and tools”. Knowledge Acquisition 1(1).
20. Branting, K., 1991. “Exploiting the complementarity of rules and precedents with reciprocity and fairness.” In: Proceedings of the Case-Based Reasoning Workshop 1991, Washington, DC, May. (Sponsored by DARP).
21. Brooke, S. and Jackson, C., 1991. “Advances in elicitation by exception”. In: Proc. Ist SGES Int. Workshop on Knowledge Based Systems Methodologies, pp 70–78, British Computer Society SGES.
22. Burton, A.M., Shabolt, N.R., Rugg, G. and Hedgecock, A.P., 1988. “Knowledge elicitation techniques in classification domains”. In: Proceedings ECAI-88: The 8th European Conference on Artificial Intelligence.
23. Chandrasekaran, B., 1986. “Generic tasks in knowledge-based reasoning: high level building blocks for expert system design”. IEEE Expert 1 23–30.
24. Chandrasekaran, B., 1990. “Design problem solving: a task analysis”. Al Magazine Winter, 59–73.
25. Clancey, W.J., 1985. “Heuristic classification”. Artificial Intelligence 27 289–350.
26. Coenen, F and Bench-Capon, TJM, 1992. “Maintenance and maintainability in regulation based systems”. ICL Technical Journal May, 76–84.
27. Collins, G, 1987. Plan creation: using strategies as blueprints. Ph.D Thesis, Department of Computer Science, Yale University.
28. Costas, T. and Kashyap, 1993. “Case-based reasoning and learning in manufacturing with TOTLEC planner”. IEEE Transactions on Systems, Man, and Cynernetics 23.
29. David, B.S., 1991. “Principles for case representation in a case-based aiding system for lesson planning”. In: Proceedings Workshop on Case-Based Reasoning Washington, DC, 8–10 May.
30. Dearden, A.M. and Bridge, D.G., 1993. “Choosing a reasoning style for a knowledge-based system: lessons from supporting a help desk”. The Knowledge Engineering Review 8 210–222.
31. Diaper, D. 1989. Knowledge Elicitation: Principles, Techniques and Applications. Ellis Horwood.
32. Domeshek, E, 1993. “A case study of case indexing: designing index feature sets to suit task demands and support parallelism”. In: J Barenden and K Holyoak (eds.), Advances in Connectionnist and Neural Computation Theory, Vol. 2: Analogical Connections.
33. DTI, 1992. Knowledge-Based Systems Survey of UK Applications. Department of Trade & Industry, UK.
34. Falkeneheimer, B., Forbus, K.D. and Gentner, D., 1986. “The structure mapping engine”. In: Proceedings Sixth National Conference on Artificial Intelligence, Philadelphia, PA.
35. Farrel, R., 1987. “Intelligent case selection and presentation”. In: Proceedings Tenth International Joint Conference on Artificial Intelligence, IJCAl-87 1 174–176.
36. Gallaire, H, Minker, J and Nicolas, JM, 1981. Advances in Database Theory, Vol. 1, Plenum.
37. Gentner, D., 1983. “Structure mapping—a theoretical framework for analogy”. Cognitive Science 7 155–170.
38. Goodman, M., 1989. “CBR in battle planning”. In: Proceedings Second Workshop on Case-Based Reasoning, Pensacola Beach, FL.
39. Hammond, K.J., 1986. “CHEF: A model of case-based planning”. In: Proc. American Association for Artificial Intelligence, AAAI-86, Philadelphia, PA.
40. Hammond, K.J., 1987. “Explaining and repairing plans that fail”. In: Proceedings International Joint Conferences on Artificial Intelligence, IJCAI-87, Milan, Italy.
41. Hammond, K.J., 1989. “On functionally motivated vocabularies: an apologia”. In: Proceedings Second Workshop on Case-Based Reasoning, Pensacola Beach, FL.
42. Harmon, P., 1992. “Case-based reasoning III”. Intelligent Software Strategies 8(1).
43. Hayes-Roth, F., Waterman, D. and Lenat, D. (eds.) 1983. Building Expert Systems. Addison Wesley.
44. Helton, T., 1991. “The hottest new Al technology—case-based reasoning”. The Spang Robinson Report on Artificial Intelligence 7(8).
45. Hennessy, D. and Hinkle, D., 1992. “Applying case-based reasoning to autoclave loading”. IEEE Expert 7(5) 21–26.
46. Hinrichs, T.R., 1992. Problem Solving in Open Worlds. Lawrence Erlbaum.
47. Kass, A., 1986. “Modifying explanations to understand stories”. In: Proc. 8th. Annual Confi of the Cognitive Science Society. Lawrence Erlbaum.
48. Keane, M., 1988. “Where's the beef? The absence of pragmatic factors in theories of analogy”. In: ECAI-88 pp 327–332.
49. Kitano, H., 1993. “Challenges for massive parallelism”. In: Proc. 13th. Conference on Artificial Intelligence, IJCA1–93, pp 813–834.
50. Kolodner, J.L., 1993. “Maintaining organization in a dynamic long-term memory”. Cognitive Science 7(4) 243–280.
51. Kolodner, J.L., 1983. “Reconstructive memory: a computer model”. Cognitive Science 7(4) 281–228.
52. Kolodner, J.L., 1993. Case-Based Reasoning. Morgan-Kaufmann.
53. Koton, P., 1989. Using experience in learning and problem solving. Ph.D thesis, Massachusetts Institute of Technology, Laboratory of Computer Science.
54. Leake, D.B., 1994. “Case-based reasoning”. The Knowledge Engineering Review 9(1) 61–64.
55. Lebowitz, M., 1987. “Experimental with incremental concept information: UNIMEM”. Machine Learning 2(2) 103–138.
56. Lopez, B. and Plaza, E., 1993. “Case-based planning for medical diagnosis”. Methodologies for Intelligent Systems, 7th. International Symposium, ISMIS-93: Lecture Notes in Artificial Intelligence 689. Springer-Verlag.
57. Magaldi, R.V., 1994. “CBR for troubleshooting aircraft on the flightline”. In: Proc. IEE Colloquium on Case-Based Reasoning: Prospects for Applications. Digest No: 1994/057, pp 6/1-6/9.
58. Maher, M.L. and Zhang, D.M., 1991. “CADSYN: using case and decomposition knowledge for design synthesis”. In: JS Gero (ed.), Artificial Intelligence in Design. Butterworth-Heinmann.
59. Marir, F. and Yip, Y.J., 1992. “An inference system based on the compiled approach for the relational database systems”. ITI Papers of the University of Salford, pp 47–72, May.
60. Marir, F, 1993. An integration approach for the deductive database systems: Enhancing the relational database system with a logic inference based on a compiled approach. Ph.D Thesis, University of Salford.
61. Marir, F. and Watson, I.D., 1994. “Case-based reasoning: a categorized bibliography”. The Knowledge Engineering Review 9(4).
62. Milne, R. and Nelson, C., 1994. “Knowledge guided data mining”. In: Proc. IEE Colloquium on Case-Based Reasoning: Prospects for Applications. Digest No: 1994/057, pp 10/1-10/3.
63. Minker, J., 1988. “Perspectives in deductive databases”. Journal of Logic Programming 5 33–60.
64. Moore, CJ, Lehane, MS and Proce, CJ, 1994. “Case-based reasoning for decision support in engineering design”. In: Proc. IEE Colloquium on Case-Based Reasoning: Prospects for Applications. Digest No: 1994/057, pp 4/1—4/4.
65. Moorman, K. and Ram, A., 1992. “A case-based approach to reactive control for autonomous robots”. In: Proceedings AAAI Fall Symposium on AI for Real-World Autonomous Robots. AAAI Press/MIT Press.
66. Motta, E., Rajan, T. and Eisenstadt, M., 1989. “A methodology and tool for knowledge acquisition in KEATS-2”. In: G Guida and C Tasso (eds.), Topics in Expert System Design: Methodologies and Tools pp 297–322. North-Holland.
67. Navinchandra, D, 1991. Exploration and Innovation in Design: Towards a Computational Model. Springer-Verlag.
68. Owens, C., 1993. “Integrating feature extraction and memory search”. Machine Learning 10(3) 311–340.
69. Oxman, R.E., 1993. “PRECEDENTS: Memory structure in design case libraries”. In: CAAD Futures 93. Elsevier.
70. Oxman, R.E., 1993. “Case-based design support: Supporting architectural composition through precedent libraries”. Journal of Architectural Planning Research.
71. Pearce, M., Ashok, K.G., Kolodner, J.L., Zimring, C. and Billington, R., 1992. “Case-based support—A case study in architectural design”. IEEE Expert October.
72. Porter, B.W. and Bareiss, E.R., 1986. “PROTOS: An experiment in knowledge acquisition for heuristic classification tasks”. In: Proceedings First International Meeting on Advances in Learning (IMAL), pp 159—174, Les Arcs, France.
73. Quinlan, J.R., 1979. Induction over large databases. Rep. No. HPP-79-14, Heuristic Programming Project, Computer Science Dept., Stanford University.
74. Ram, A., Arkin, R.C., Moorman, K. and Clark, R.J., 1994. Case-based reactive navigation: A case-based method for on-line selection and adaptation of reactive control parameters in autonomous robotic systems. Georgia Institute of Technology, College of Computing Technical report no. GIT-CC-92/57.
75. Richter, A.M. and Weiss, S., 1991. “Similarity, uncertainty and case-based reasoning in PATDEX”. In: RS Boyer (ed.), Automated Reasoning Essays in Honour of Woody Bledsoe. Kluwer pp 249–265.
76. Reisbeck, C.K. and Schank R.C. 1989. Inside Case-Based Reasoning. Lawrence Erlbaum.
77. Rissland, E.L. and Skala, D.B., 1989. “Combining case-based and rule-based reasoning: A heuristic approach”. In: Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89, pp 524–530, Detroit.
78. Schank, R.C. and Abelson, R.P., 1977. Scripts, Plans, Goals and Understanding. Erlbaum.
79. Schank, R., 1982. Dynamic Memory: A theory of reminding and learning in computers and people. Cambridge University Press.
80. Sharma, S. and Sleeman, D., 1988. “REFINER: A case-based differential diagnosis aide for knowledge acquisition and knowledge refinement”. In: EWSL 88; Proc. European Working Session on Learning pp 201–210.
81. Simoudis, E., 1992. “Using case-based retrieval for customer technical support”. IEEE Expert 7(5) 7–13.
82. Simoudis, E., Mendall, A. and Miller, P., 1993. “Automated support for developing retrieve-and-propose systems”. In: Proceedings Artificial Intelligence XI Conference, Orlando, FL.
83. Simpson, R.L., 1985. A Computer Model of Case-Based Reasoning in Problem Solving: An Investigation in the Domain of Dispute Mediation. Technical Report GIT-ICS-85/18, Georgia Institute of Technology, School of Information and Computer Science.
84. Skalk, D.B., 1992. “Representing cases as knowledge sources that apply local similarity metrics”. In: Proceedings Fourteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum.
85. Slade, S., 1991. “Case-based reasoning: A research paradigm”. Al Magazine 42–55.
86. Smith, E.E., Adams, N. and Schorr, D., 1978. “Fact retrieval and the paradox of interference”. Cognitive Psychology 10 438–464.
87. Steels, L., 1990. “Components of expertise”. Al Magazine Summer, 28–50.
88. Sycara, E.P., 1987. Resolving adversial conflicts: An approach to Integrating Case-Based and Analytic Methods. Technical Report GIT-ICS-87/26, Georgia Institute of Technology, School of Information and Computer Science.
89. Sycara, K., 1992. “CADET: a case-based synthesis tool for engineering design”. International Journal of Expert Systems 4(2) 157–188.
90. Sycara, K. and Navichandra, D., 1992. “Retrieval strategies in a case-based design system”. In: CTong and D Sriram (eds.), Artificial Intelligence in Engineering Design Vol. 2. Academic Press.
91. Tulving, E., 1977. “Episodic and semantic memory”. In: E Tulving and W Donaldson (eds.), Organisation of Memory, pp 381–403. Academic Press.
92. Vargas, J.E. and Raj, S., 1993. “Developing maintainable expert systems using case-based reasoning”. Expert Systems 10(4) 219–225.
93. Venkatamaran, S., Krishnan, R. and Rao, K.K., 1993. “A rule-case based system for image analysis”. In: Proc. 1st. European Workshop on Case-Based Reasoning, Posters & Presentations 2 410–415.
94. Watson, I.D., Basden, A. and Brandon, P.S., 1992. “The client centred approach: expert system development”. Expert Systems 9(4) 181–188.
95. Watson, I.D., Basden, A. and Brandon, P.S., 1992. “The client centred approach: expert system maintenance”. Expert Systems 9(4) 189–196.
96. Watson, I.D. and Abdullah, S., 1994. “Developing case-based reasoning systems: a case study in diagnosing building defects”. In: Proc. IEE Colloquium on Case-Based Reasoning: Prospects for Applications. Digest No: 1994/057, pp 1/1-1/3.
97. Wielinga, B.J., Schreiber, A.T.H. and Breuker, J.A., 1992. “KADS: A modelling approach to knowledge engineering”. Knowledge Acquisition 4(1).
98. Wittgenstein, L., 1953. Philosophical Investigations. Blackwell.
99. Yang, S and Robertson, D, 1994. “A case-based reasoning system for regulatory information”. In: Proc. IEE Colloquium on Case-Based Reasoning: Prospects for Applications. Digest No: 1994/057, pp 311–313.