Abstract
Problem solving in weak theory domains should compensate for the lack of strong theories by combining the various other knowledge types involved. Such methods should be able to effectively combine general domain knowledge with specific case knowledge. A method is described that utilises a presumably extensive and dense model of general domain knowledge as explanatory support for case-based problem solving and learning. A generic reasoning method — captured in what is called the Activate-explain-focus cycle — is able to utilise a rich knowledge model in producing context-dependent explanations. A specialisation of this method for each of the main subprocesses of case-based reasoning is presented, and illustrated with examples.
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Agnar Aamodt. Knowledge intensive case-based reasoning and sustained learning. In: ECAI-90; Proceedings of the ninth European Conference on Artificial Intelligence, Stockholm, August, 1990.
Agnar Aamodt. A knowledge-intensive approach to problem solving and sustained learning. Ph.D. Dissertation, University of Trondheim, Norwegian Institute of Technology, May 1991. (University Microfilms PUB 92-08460)
Agnar Aamodt, Enric Plaza. Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches. A I Communications, Vol. 7, No.1 March 1994, pp. 39–59.
Klaus-Dieter Althoff, Stefan Wess. Case-based knowledge acquisition, learning and problem solving for real world tasks. Proceedings EKAW-91, European Knowledge Acquisition Workshop, 1991.
K.-D. Althoff, R. Bergmann, F. Maurer, S. Wess, M. Manago, E. Auriol, N. Conruyt, R. Traphöner, M. Braeuer, S. Dittrich, (1993). Integrating Inductive and Case-Based Technologies for Classification and Diagnostic Reasoning. In: E. Plaza (ed.), Proc. ECML-93 Workshop on “Integrated Learning Architectures”, Vienna, Apr 1993.
Ray Bareiss. Exemplar-based knowledge acquisition. Academic Press, 1989.
Karl Branting. Exploiting the complementarity of rules and precedents with reciprocity and fairness. In: Proceedings from the Case-Based Reasoning Workshop 1991, Washington DC, May 1991. DARPA. Morgan Kaufmann, 1991. pp 39–50.
B. Chandrasekaran. Task-structure analysis for knowledge modeling. Communications of the ACM, Vol. 35, no. 9, September 1992 (Special issue on modeling), pp. 124–137.
P. Compton, R. Jansen. A philosophical basis for knowledge acquisition. EKAW 89, Third European Workshop on Knowledge Acquisition for Knowledge-Based systems. Ed. by J. Boose, B. Gaines, J.G Ganascia. ECCAI/AFCET/ARC, Paris 1989. pp. 75–89.
J-M. David, J-P. Krivine, R. Simmons (eds.), Second generation expert systems (Springer, 1993).
Kristian J. Hammond. CHEF; a model of case-based planning. Proceedings of AAAI-86. Morgan Kaufmann, 1986. pp 267–271.
Thomas R. Hinrichs. Problem solving in open worlds: A case study in design. Lawrence Erlbaum Associates, 1992.
J. Josephson, S. Josephson. Abductive inference, computation, philosophy, technology. Cambridge University Press, 1994.
Janet Kolodner. Extending problem solver capabilities through case-based inference. Proc. 4th workshop on Machine Learning, UC-Irvine, June 22–25 1987. pp 167–178.
Phyllis Koton. Using experience in learning and problem solving. Massachusetts Institute of Technology, Laboratory of Computer Science (Ph.D. dissertation, October 1988). MIT/LCS/TR-441. 1989.
Doug Lenat, R. Guha. Building Large Knowledge-Based Systems; Representation and Inference in the CYC Project. Addison-Wesley, 1989.
D.B. Leake. Focusing construction and selection of abductive hypotheses. In IJCAI-93, Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, Chambery, France, 1993. Vol. 1, pp 24–29.
Enric Plaza, Josep-Lluis Arcos. Reflection, memory, and learning. Institut d'Investigacio en Intelligencia Artificial, CSIC/CEAB, Report de Recerca IIIA 93/2. Also in Proceeding from MSL-93 Workshop on Multistrategy Learning.
Bruce Porter, Ray Bareiss, Robert Holte. Concept learning and heuristic classification in weak theory domains. Artificial Intelligence, vol. 45, no. 1–2, September 1990. pp 229–263.
Bruce Porter. Similarity assessment; Computation vs. representation. In Proceedings from the Case-Based Reasoning Workshop, Pensacola Beach, Florida, May–June 1989. Sponsored by DARPA. Morgan Kaufmann, 1989. pp 82–84.
Ashwin Ram, Michael Cox. Multistrategy learning with introspective meta-explanations. In D. Sleeman, P. Edwards (eds.), Machine Learning, Proceedings of the International Workshop (ML 92), Aberdeen, 1992. pp 123.128.
A.M. Richter, S. Weiss. Similarity, uncertainty and case-based reasoning in PATDEX. In R.S. Boyer (ed.): Automated reasoning, essays in honour of Woody Bledsoe. Kluwer, 1991, pp. 249–265.
Roger Schank, David Leake. Creativity and learning in a case-based explainer. Artificial Intelligence, Vol. 40, no 1–3, 1989. pp 353–385.
Luc Steels. Components of expertise. AI Magazine, 11(2), 1990. pp. 29–49.
Ingeborg Sølvberg, Inge Nordbø, Agnar Aamodt. Knowledge-based information retrieval. Future Generation Computer Systems, Vol. 7, 1991/92, pp 379–390.
Paul Thagard. Explanatory Coherence. Behavioural and Brain Sciences 12 (1989) 435–467.
Walter Van de Velde, Agnar Aamodt: Machine learning issues in CommonKADS. KADS-II Report, KADS-II/TII.4.3/TR/VUB/002/3.0, Free University of Brussels-VUB, 1992.
Bob Wielinga, Walter van de Velde, Guus Schreiber, Hans Akkermans. Towards a unification of knowledge modelling approaches. In Proceedings of JKAW-92, Japanese Knowledge Acquisition Workshop. 1992
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Aamodt, A. (1994). Explanation-driven case-based reasoning. In: Wess, S., Althoff, KD., Richter, M.M. (eds) Topics in Case-Based Reasoning. EWCBR 1993. Lecture Notes in Computer Science, vol 837. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58330-0_93
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DOI: https://doi.org/10.1007/3-540-58330-0_93
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