Abstract
This paper surveys the field of case-based reasoning (CBR) – both in science and in industrial applications. It starts with a short introduction to the essential ideas and concepts CBR is built upon. Then follows a bit of history that is interesting for understanding the development and the current state of the field. Its main part introduces and reviews the most important sub-fields of CBR: theoretical foundations, CBR for document retrieval, product selection, help-desk support, diagnosis, configuration, planning, and design. In the last part, we discuss why the field has developed rather well and will have a promising future, particularly in new areas like self-service and e-commerce applications in the world wide web.
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References
Aamodt, A., Plaza, E.: Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39–59 (1994)
Aamodt, A., Veloso, M. (eds.): ICCBR 1995. LNCS(LNAI), vol. 1010. Springer, Heidelberg (1995)
Aarts, R.J., Rousu, J.J.: Towards CBR for bioprocess planning. In: Smith and Faltings [41], pp.16–27
Althoff, K.-D.: Eine fallbasierte Lernkomponente als integrierter Bestandteil der Moltke-Werkbank zur Diagnose technischer Systeme. PhD thesis, Dept. of Computer Science, University of Kaiserslautern, Germany (1992)
Auriol, E., Wess, S., Manago, M., Althoff, K.-D., Traphöner, R.: INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning. In: Aamodt and Veloso [2], pp.371–380
Bakhtari, S., Bartsch-Spörl, B., Oertel, W.: DOM-ARCADE: assistance services for construction, evaluation and adaptation of design layouts. In: Gero, J.S., Sudweeks, F. (eds.) Artificial Intelligence in Design 1996, Standford, pp. 681–699. Kluwer Academic Publishers, Dordrecht (1996)
Barletta, R., Hennessy, D.: Case adaptation in autoclave layout design. In: Hammond, K.J. (ed.) Proceedings CBR 1989, pp. 203–207. Morgan Kaufmann Publishers, San Francisco (1989)
Bartsch-Spörl, B.: Ansätze zur Behandlung von fallorientiertem Erfahrungswissen in Expertensystemen. KI - Künstliche Intelligenz 1(4), 32–36 (1987)
Bergmann, R.: Effizientes Problemlösen durch exible Wiederverwendung von Fällen auf verschiedenen Abstraktionsebenen. PhD thesis, Universität Kaiserslautern (1996), available as DISKI 138, infix Verlag
Bergmann, R., Muñoz-Avila, H., Veloso, M., Melis, E.: CBR Applied to Planning. In: Case-Based Reasoning Technology - From Foundations to Applications [31], ch. 7, pp. 169-200
Bergmann, R., Stahl, A.: Similarity Measures for Object-Oriented Case Representations. In: Smyth and Cunningham [42], pp. 25-36
Börner, K.: CBR for Design. In: Case-Based Reasoning Technology-From Foundations to Applications [31], ch. 8, pp. 201-234
Busch, K.-H.: Customer Support for Siemens Products on the Internet and CDROM. In: Talk at EWCBR-1998 Industry Day (1998)
Domeshek, E.A., Kolodner, J.L.: A case-based design aid for architecture. In: Gero, J.S. (ed.) Artificial Intelligence in Design 1992, Pittsburgh, pp. 497–516. AID, Kluwer Academic Publishers, Dordrecht (1992)
Gebhardt, F., Voβ, A., Gräther, W., Schmidt-Belz, B.: Reasoning with Complex Cases. International Series in Engineering and Computer Science, vol. 393. Kluwer Academic Publishers, Boston (1997)
Gierl, L., Bull, M., Schmidt, R.: CBR in Medicine. In: Case-Based Reasoning Technology-From Foundations to Applications [31], ch. 11, pp. 273-298
Gierl, L., Stengel-Rutkowski, S.: Integrating consultation and semi-automatic knowledge acquisition in a prototype-based architecture: Experiences with dysmorphic syndromes. Artifical Intelligence in Medicine 6, 29–49 (1994)
Goel, A.K.: Integration of Case-Based Reasoning and Model-Based Reasoning for Adaptive Design Problem Solving. PhD thesis, Department of Computer and Information Sciences, The Ohio State University (1989)
Görz, G., Hölldobler, S. (eds.): KI 1996. LNCS(LNAI), vol. 1137. Springer, Heidelberg (1996)
Heider, R.: Troubleshooting CFM 56-3 Engines for Boeing 737 Using CBR and Data Mining. In: Smith and Faltings [41], pp. 512–518
Hua, K., Smith, I., Faltings, B.: Exploring case-based design: CADRE. Artificial Intelligence for Engineering Design. Analysis and Manufacturing (AI EDAM) 7(2), 135–144 (1993)
Kolodner, J.L.: Retrieval and Organizational Strategies in Conceptual Memory. Lawrence Erlbaum, Hillsdale (1984)
Leake, D.B., Plaza, E. (eds.): ICCBR 1997. LNCS(LNAI), vol. 1266. Springer, Heidelberg (1997)
Lenz, M.: Case-based reasoning for holiday planning. In: Schertler, W., Schmid, B., Tjoa, A.M., Werthner, H. (eds.) Information and Communications Technologies in Tourism, pp. 126–132. Springer, Heidelberg (1994)
Lenz, M.: Defining Knowledge Layers for Textual Case-Based Reasoning. In: Smyth and Cunningham [42], pp. 298-309
Lenz, M.: Managing the Knowledge Contained in Technical Documents. In: Reimer, U. (ed.) Proc. Practical Aspects of Knowledge Management, PAKM-1998 (1998)
Lenz, M., Ashley, K.D. (eds.): Proceedings of the AAAI Workshop on Textual CBR. AAAI Press, Menlo Park (1998)
Lenz, M., Auriol, E., Manago, M.: Diagnosis and Decision Support. In: Case-Based Reasoning Technology - From Foundations to Applications [31], ch. 3, pp. 51-90
Lenz, M., Burkhard, H.-D.: Case Retrieval Nets: Basic ideas and extensions. In: Görz and Hölldobler [19], pp. 227-239
Lenz, M., Burkhard, H.-D.: CBR for Document Retrieval - The FALLQ Project. In: Leake and Plaza [23], pp. 84-93
Lenz, M., Bartsch-Spörl, B., Burkhard, H.-D., Wess, S. (eds.): Case-Based Reasoning Technology. LNCS (LNAI), vol. 1400. Springer, Heidelberg (1998)
Lenz, M., Burkhard, H.-D., Pirk, P., Auriol, E., Manago, M.: CBR for Diagnosis and Decision Support. AI Communications 9(3), 138–146 (1996)
Mellish, C.S. (ed.): Proceedings of the 14th International Conference on Artificial Intelligence IJCAI-1995 (1995)
Muñoz-Avila, H., Weberskirch, F.: Complete eager replay. In: Sauer, J., Günter, A., Hertzberg, J. (eds.) Beiträge zum 10. Workshop ’Planen und Konfigurieren’, PuK-1996 (1996)
Netten, B.D.: Knowledge-based conceptual design: An application to reinforced composite sandwich panels. PhD thesis, Faculty of Technical Mathematics and Informatics, Delft University of Technology (1997)
Purvis, L., Pu, P.: Adaptation using constraint satisfaction techniques. In: Aamodt and Veloso [2], pp. 289-300
Richter, M.M.: The knowledge contained in similarity measures. In: Invited Talk at ICCBR-1995 (1995), http://wwwagr.informatik.uni-kl.de/~lsa/CBR/Richtericcbr95remarks.html
Richter, M.M.: Introduction. In: Case-Based Reasoning Technology-From Foundations to Applications [31], ch. 1, pp. 1-16
Schaaf, J.: Über die Suche nach situationsgerechten Fällen im fallbasierten Schlieooooen. DISKI 179, Universität Kaiserslautern (1998)
Schank, R.C.: Dynamic Memory: A Theory of Learning in Computers and People. Cambridge University Press, New York (1982)
Smith, I., Faltings, B. (eds.): Advances in Case-Based Reasoning. LNCS (LNAI), vol. 1186. Springer, Heidelberg (1996)
Smyth, B., Cunningham, P. (eds.): EWCBR 1998. LNCS (LNAI), vol. 1488. Springer, Heidelberg (1998)
Smyth, B., Keane, M.T.: Retrieving adaptable cases: The role of adaptation knowledge in case retrieval. In: Wess, et al. (eds.) [49], pp. 209–220.
Smyth, B., Keane, M.T.: Remembering to forget. In: Mellish [33], pp. 377-382
Veloso, M.M. (ed.): Planning and Learning by Analogical Reasoning. LNCS, vol. 886. Springer, Heidelberg (1994)
Voβ, A.: Case reusing systems-survey, framework and guidelines. The Knowledge Engineering Review 12(1) (1997) (in print)
Wess, S.: PATDEX/2: ein System zum adaptiven, fallfokussierenden Lernen in technischen Diagnosesituationen. Diploma thesis, University of Kaiserslautern (1990)
Wess, S.: Fallbasiertes Problemlösen in wissensbasierten Systemen zur Entschei- dungsunterstützung und Diagnostik. PhD thesis, Universität Kaiserslautern (1995), available as DISKI 126, inficgnx Verlag
Wess, S., Richter, M.M., Althoff, K.-D. (eds.): EWCBR 1993. LNCS(LNAI), vol. 837, pp. 1–23. Springer, Heidelberg (1994)
W. Wilke. Case-based reasoning and electronic commerce. Invited Talk at ICCBR-97, 1997.
Wilke, W., Lenz, M., Wess, S.: Intelligent Sales Support with CBR. In Case-Based Reasoning Technology-From Foundations to Applications [31], ch. 4, pp. 91–114
Wilke, W., Smyth, B., Cunningham, P.: Using configuration techniques for adaptation. In: Lenz, M., Bartsch-Spörl, B., Burkhard, H.-D., Wess, S. (eds.) Case-Based Reasoning Technology [31], ch. 6. LNCS (LNAI), vol. 1400, pp. 139–168. Springer, Heidelberg (1998)
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Bartsch-Spörl, B., Lenz, M., Hübner, A. (1999). Case-Based Reasoning – Survey and Future Directions. In: Puppe, F. (eds) XPS-99: Knowledge-Based Systems. Survey and Future Directions. XPS 1999. Lecture Notes in Computer Science(), vol 1570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703016_4
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DOI: https://doi.org/10.1007/10703016_4
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