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EWCBR
1993
Springer

Knowledge Engineering Requirements in Derivational Analogy

9 years 1 months ago
Knowledge Engineering Requirements in Derivational Analogy
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.
Padraig Cunningham, Donal Finn, Seán Slatte
Added 09 Aug 2010
Updated 09 Aug 2010
Type Conference
Year 1993
Where EWCBR
Authors Padraig Cunningham, Donal Finn, Seán Slattery
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