David B. Leake and David C. Wilson. Combining CBR with interactive knowledge acquisition, manipulation and reuse. In Klaus-Dieter Altho#, Ralph Bergmann, and Karl Branting, editors, Proceedings of the Third International Conference on Case-Based Reasoning, pages 203--217, Berlin, 1999. Springer-Verlag.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....must usually be adapted to made applicable to new situations. Also in order to learn from experience, a case based reasoning system should be able to evaluate and consequently repair the system based on feedback and simulation [24] Various adaptation and repair approaches have been proposed [24, 38, 41, 27, 28, 17, 26]. Although our work is based on a case based system, it is quite di erent from the ap3 plication of CBR to Help Desk and those works on adaptation and repair strategies. The Help Center of the company already has a case based reasoning system installed for remote diagnostics. Our work is try to ....

David B. Leake and David C. Wilson. Combining CBR with interactive knowledge acquisition, manipulation and reuse. In ICCBR, pages 203-217, 1999.

.... date, most of the work in TCBR relies on available, robust and easy to use IR methods, which require minimal customization and knowledge engineering; see the collection in (Ashley Lenz 1998) Other systems are CaseAdvisor (Racine Yang 1997) in a tech support application, and more recently DRAMA (Leake Wilson 1999). DRAMA is particularly interesting because it combines CBR and IR methods for hybrid cases. IR methods are extremely weak compared to the reasoning typically carried out in CBR, which includes the assessment of similarity among cases and the adaptation of partially matched cases. The text ....

Leake, D., and Wilson, D. 1999. Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse. In Proceedings of the Third International Conference on Case-Based Reasoning. Springer. LNAI 1650.

....relies on human participation, since is the user who validates the proposed adaptations, and if the response is not acceptable, other adaptations are tried. In this sense, the process of acquiring new adaptation cases search heuristics can be seen as an interactive knowledge acquisition process [10]. The two distinguishing features of our approach are the use of explicitly represented dependency relations between case items, and the use of DLs as the underlying knowledge representation formalism. We consider that the elicitation of dependency relations requires less knowledge engineering ....

Leake, D.B. &Wilson, D., 1999: "Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse", in Procs. ICCBR'99.

....issues are closely related to fundamental assumptions in CBR. Casebased problem solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected bene #ts of this learning process depend on two types of regularity #Leake and Wilson 1999b#: #1# problem solution regularity, the relationship between problem to problem and solution to solution similarity measures that assures that solutions to similar prior problems are a useful starting point for solving similar current problems, and #2# problem distribution regularity, the ....

....3 Regularity Case based reasoning solves new problems by retrieving stored cases encapsulating records of similar problems, and adapting their lessons to #t the new circumstances. Case based problem solving is based on two central premises about the regularityof the problem solver s world #Leake and Wilson 1999b; Kolodner 1993#. The #rst, which we will call problem solution regularity, describes the relationship between problem descriptions and solutions that assures that similar problems have similar solutions. This regularity is needed to guarantee that cases for similar prior problems are likely to ....

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D. Leake and D. Wilson. Combining CBR with interactive knowledge acquisition, manipulation and reuse. In Proceedings of the Third International Conference on Case-Based Reasoning, pages 203#217, Berlin, 1999. Springer Verlag.

....contexts, and it concludes with a discussion of related work and future directions. 2 DRAMAtic Motivation The DRAMA project provides an interactive support framework for aerospace design that combines case based reasoning with concept mapping to capture and reuse expert design knowledge (Leake and Wilson 1999). DRAMA attempts to capture not only the important features of the aircraft designs themselves, but also the designer s conceptualizations of those designs the relationships and rationale for making design choices. As part of rationale capture, particular design components (e.g. aircraft ....

D. Leake and D. Wilson. Combining CBR with interactive knowledge acquisition, manipulation, and reuse. In Proceedings of the Third International Conference on Case-Based Reasoning, Berlin, 1999. Springer-Verlag. In press.

.... Support A wide range of case based design support tools has been developed for numerous tasks such as architectural design (Gebhardt et al. 1997; Goel et al. 1991; Hua and Faltings, 1993; Maher et al. 1995; Smith et al. 1995) conceptual design of aircraft subsystems (Domeshek et al. 1994; Leake and Wilson, 1999) autoclave layout design (Hinkle and Toomey, 1995) device design (Goel, 1989; Sycara et al. 1991) and circuit design (Vollrath, 1998) The Stamping Advisor s task is most closely related to that of the load validator in the system Clavier (Hinkle and Toomey, 1995) which warns users about ....

D. Leake and D. Wilson. Combining CBR with interactive knowledge acquisition, manipulation and reuse. In Proceedings of the Third International Conference on Case-Based Reasoning, Berlin, 1999. Springer Verlag. In press.

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David B. Leake and David C. Wilson. Combining CBR with interactive knowledge acquisition, manipulation and reuse. In Klaus-Dieter Altho#, Ralph Bergmann, and Karl Branting, editors, Proceedings of the Third International Conference on Case-Based Reasoning, pages 203--217, Berlin, 1999. Springer-Verlag.

No context found.

David B. Leake and David C. Wilson. Combining CBR with interactive knowledge acquisition, manipulation and reuse. In Klaus-Dieter Altho#, Ralph Bergmann, and Karl Branting, editors, Proceedings of the Third International Conference on Case-Based Reasoning, pages 203--217, Berlin, 1999. Springer-Verlag.

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