Abstract
Conversational Case-Based Reasoning (CCBR) systems engage a user in a series of questions and answers to retrieve cases that solve his/her current problem. Help-desk and interactive troubleshooting systems are among the most popular implementations of the CCBR methodology. As in traditional CBR systems, features in a CCBR system can be expressed at varying levels of abstraction. In this paper, we identify the sources of abstraction and argue that they are uncontrollable in applications typically targeted by CCBR systems. We contend that ignoring abstraction in CCBR can cause representational inconsistencies, adversely affect retrieval and conversation performance, and lead to case indexing and maintenance problems. We propose an integrated methodology called Taxonomic CCBR that uses feature taxonomies for handling abstraction to correct these problems. We describe the benefits and limitations of our approach and examine issues for future research.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aha, D.W., Breslow, L.A., & Munoz-Avila, H., (2001), Conversational Case-Based Reasoning, Applied Intelligence, 14(1), pp. 9–31.
Aha, D.W., Maney, T., & Breslow, L.A., (1998), Supporting Dialogue Inferencing in Conversational Case-Based Reasoning, Advances in Case-Based Reasoning (B. Smyth and P. Cunningham (Eds.)), 4th European Workshop EWCBR-98, Dublin, Ireland, pp. 262–273.
Alterman, R., Griffin, D., (1994), Remembering Episodes of Question Answering, Proceedings of the Second European Workshop on Case-Based Reasoning, EWCBR-94, M. Keane, J.P. Haton, M. Manago (Eds.), pp. 235–242.
Arocha, J.F. & Patel, V.L., (1995), Diagnostic Reasoning by Novices: Accounting For Evidence, Journal of Learning Sciences, 4(4), pp. 355–384.
Ashley, K.D., & Lenz, M. (Eds.), (1998), Textual Case-Based Reasoning, Papers from the AAAI-98 Workshop, AAAI Tech. Rep. WS-98-12, AAAI Press, Melno Park, CA.
Baudin, C., & Waterman, S., (1998), From Text to Cases: Machine Aided Text Categorization for Capturing Business Reengineering Cases, Proceedings of the AAAI Workshop on Textual Case-Based Reasoning, Technical Report WS-98-12, pp. 51–57.
Bergmann, R., & Wilke, W., (1996), On the Role of Abstraction in Case-Based Reasoning, (I. Smith and B. Faltings (Eds.)), Advances in Case-Based Reasoning, EWCBR-96, pp. 28–43.
Branting, K.L., & Aha, D.W., (1995), Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes, IJCAI 1995, Vol. 1, pp. 384–390.
Carrick, C., Yang, Q., Abi-Zeid, I., & Lamontagne, L., (1999), Activating CBR systems through autonomous information gathering. Proceedings of the Third International Conference on Case-Based Reasoning, Munich, Germany: Springer, pp. 74–86.
DoD (1997). Joint tactics, techniques and procedures for noncombatant evacuation operations (Joint Report 3-07.51). Washington, DC: Department of Defense, Joint Chiefs of Staff.
Drastal, G., & Czako, G., (1989), Induction in an abstraction space: A Form of Constructive Induction,” Proceedings of the Eleventh International Joint Conference on AI, Vol.1, pp. 708–712.
Everett, J.O., Bobrow, D.G., (2000), Resolving Redundancy: A Recurring Problem in a Lessons Learned System, Intelligent Lessons Learned Systems: Papers from the AAAI Workshop (Technical Report AIC-00-005), Washington DC: Naval Research Laboratory, Navy Center for Applied Research in Artificial Intelligence, pp. 12–16.
Furnas, G.W., Landauer, T.K., Gomez, L.M., & Dumais, S.T., (1987), The Vocabulary Problem in Human-System Communication, The Communications of the ACM, 30(10), pp. 964–971.
Gupta, K.M., & Montazemi, A.R., (1997), Empirical Evaluation of Retrieval in Case-Based Reasoning Systems using Modified Cosine Matching Function, IEEE Transactions on Systems, Man, and Cybernetics, 27(5), pp. 601–612.
Gupta, K.M., (1998), Knowledge-Based System For Troubleshooting Complex Equipment, International Journal of Information and Computing Science, 1(1), pp. 29–41.
Kolodner, J.L., (1993), Case-Based Reasoning, Morgan Kaufman, San Mateo, CA.
McSherry, D., (2001), Interactive Case-Based Reasoning in Sequential Diagnosis, Applied Intelligence, 14(1), pp. 65–76.
Montazemi A.R., & Gupta K.M., (1996), An Adaptive Agent for Case Description in Diagnostic CBR Systems, Computers in Industry, 29(3), pp. 209–224.
Pedrycz, W., & Vukovich, G., (2000), Granular Worlds: Representation and Communication Problems, International Journal of Intelligent Systems, 15(11), pp. 1015–1026
Racine, C., and Yang. Q., (2001), Redundancy and Inconsistency Detection in Large and Semi-Structured Case Bases, IEEE Transactions on Knowledge and Data Engineering, To appear.
Rogers, D.J., & Tanimoto, T.T., (1960), A Computer Program for Classifying Plants, Science, Vol. 1332, pp.1115–1118
Rosch, E., (1978), Principals of Categorization, in Cognition and Categorization, E. Rosch and B. Llyod, (Eds.) Lawrence Earlbaum Associates Publishers, Hillsdale, New Jersey, NJ, pp. 28–48.
Shimazu, H., (1999), Translation of Tacit Knowledge into Explicit knowledge: Analyses of Recorded Conversations between Customers and Human Agents, Exploring Synergies of Knowledge Management and Case-Based Reasoning, Papers from the AAAI Workshop, TR WS-99-10, pp. 81–85.
Trott, J.R., Leng, B., (1997), An Engineering Approach for Troubleshooting Case Bases, Case-Based Reasoning Research and Development, (Eds.) D.B. Leake and E. Plaza, ICCBR-97, pp.178–189.
Yang, Q., & Wu, J., (2001), Enhancing the Effectiveness of Interactive Case-Based Reasoning with Clustering and Decision Forests, Applied Intelligence, 14(1), pp. 49–64.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gupta, K.M. (2001). Taxonomic Conversational Case-Based Reasoning. In: Aha, D.W., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2001. Lecture Notes in Computer Science(), vol 2080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44593-5_16
Download citation
DOI: https://doi.org/10.1007/3-540-44593-5_16
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42358-4
Online ISBN: 978-3-540-44593-7
eBook Packages: Springer Book Archive