Abstract
This paper details a set of enhancements to the Multiple Classification Ripple Down Rules methodology which enable the expert to create rules based on the existing presence of a conclusion. A detailed description of the method and associated challenges are included as well as the results of a preliminary study which was undertaken with a dataset of pizza topping preferences. These results demonstrate that the method loses none of the appeal or capabilities of MCRDR and show that the enhancements can see practical and useful application even in this simple domain.
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References
Miller, R., Pople, H., Myers, J.: Internist-1, an experimental computer-based diagnostic consultant for general internal medicine. The New England Journal of Medicine 307, 468–476 (1982)
Buchanan, B., Barstow, D., Bechtal, R., Bennett, J., Clancey, W., Kulikowski, C., Mitchell, T., Waterman, D.: Constructing an Expert System. In: Hayes-Roth, F., Waterman, D., Lenat, D. (eds.) Building Expert Systems, 1st edn., pp. 127–167. Addison-Wesley, Reading (1983)
Buchanan, B., Shortliffe, E.: Rule-Based Expert Systems, 1st edn., vol. 1. Addison-Wesley, Reading (1984)
Barker, V.E., O’Connor, D.E., Bachant, J., Soloway, E.: Expert systems for configuration at Digital: XCON and beyond. Commun. ACM. 32, 298–318 (1989)
Suryanto, H.: Learning and Discovery in Incremental Knowledge Acquisition, Department of Artificial Intelligence, University of New South Wales, Sydney (2005)
Bachant, J., McDermott, J.: R1 Revisited: four years in the trenches. Readings from the AI magazine. American Association for Artificial Intelligence, pp. 177–188 (1988)
Compton, P., Jansen, R.: A philosophical basis for knowledge acquisition. In: European Knowledge Acquisition for Knowledge-Based Systems, Conference (1989)
Compton, P., Jansen, R.: Cognitive aspects of knowledge acquisition. In: AAAI Spring Consortium, Conference (1992)
Preston, P., Edwards, G., Compton, P.: A 2000 Rule Expert System Without a Knowledge Engineer. In: AIII-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems, Conference (1994)
Edwards, G., Compton, P., Malor, R., Srinivasan, A., Lazarus, L.: Peirs: A pathologist-maintained expert system for the interpretation of chemical pathology reports. Pathology 25, 27–34 (1993)
Compton, P., Kang, B., Preston, P., Mulholland, M.: Knowledge Acquisition without Analysis. In: Knowledge Acquisition for Knowledge-Based Systems, Conference (1993)
Kang, B., Compton, P., Preston, P.: Multiple Classification Ripple Down Rules (1994)
Kang, B., Compton, P., Preston, P.: Multiple Classification Ripple Down Rules: Evaluation and Possibilities. In: AIII-Sponsored Banff Knowledge Acquisition for Knowledge-Based Systems, Conference (1995)
Suryanto, H.: Learning and Discovery in Incremental Knowledge Acquisition, in School of Computer Science and Engineering, University of New South Wales, Sydney (2005)
Beydoun, G., Hoffmann, A.: Programming Languages and their Definition. LNCS, pp. 177–186. Springer, Heidelberg (1997)
Beydoun, G., Hoffmann, A.: Programming 1980. LNCS, pp. 83–95. Springer, Heidelberg (1998)
Compton, P., Cao, T., Kerr, J.: Generalising Incremental Knowledge Acquisition (2004)
Bindoff, I., Kang, B.H., Ling, T., Tenni, P., Peterson, G.: Applying MCRDR to a Multidisciplinary Domain. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS, vol. 4830, pp. 519–528. Springer, Heidelberg (2007)
Bindoff, I., Tenni, P., Kang, B., Peterson, G.: Intelligent Decision Support for Medication Review. In: Hoffmann, A., Kang, B.-h., Richards, D., Tsumoto, S. (eds.) PKAW 2006. LNCS, vol. 4303, pp. 120–131. Springer, Heidelberg (2006)
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Bindoff, I., Ling, T., Kang, B.H. (2009). Multiple Classification Ripple Round Rules: A Preliminary Study. In: Richards, D., Kang, BH. (eds) Knowledge Acquisition: Approaches, Algorithms and Applications. PKAW 2008. Lecture Notes in Computer Science(), vol 5465. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01715-5_7
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DOI: https://doi.org/10.1007/978-3-642-01715-5_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01714-8
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