Knowledge Engineering Requirements in Derivational Analogy
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1993-09Citation:
Cunningham, Padraig; Slattery, Sean; Finn, Donal. 'Knowledge Engineering Requirements in Derivational Analogy'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-93-21, 1993, 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 Proceedings of the First European Workshop on Case-Based Reasoning, Kaiserslauten, Germany.Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections
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Computer Science Technical ReportTCD-CS-93-21
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