Knowledge Engineering Requirements in Derivational Analogy
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Computer Science Technical ReportDate:
1996-08Citation:
Cunningham, Padraig; Finn, Donal; Slattery, Sean. 'Knowledge Engineering Requirements in Derivational Analogy'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-96-10, 1996, pp12Download Item:
Abstract:
A major advantage in using a case-based approach to developing
knowledge-based systems is that it can be applied to problems where a strong
domain theory may be difficult to determine. However the development of
case-based reasoning (CBR) systems that set out to support a sophisticated case
adaptation process does require a strong domain model. The Derivational
Analogy (DA) approach to CBR is a case in point. In DA the case
representation contains a trace of the reasoning process involved in producing
the solution for that case. In the adaptation process this reasoning trace is
reinstantiated in the context of the new target case; this requires a strong
domain model and the encoding of problem solving knowledge. In this paper
we analyse this issue using as an example a CBR system called CoBRA that
assists with the modelling tasks in numerical simulation.
Description:
Also in Wess, S., Althoff, K-D., & Richter, M.M. (Eds.), Topics in Case-Based Reasoning. Amsterdam: Sprinter-Verlag.Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Computer Science Technical ReportCollections
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Computer Science Technical ReportTCD-CS-96-10
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