Knowledge Engineering Requirements in Derivational Analogy
Item Type:Computer Science Technical Report
Citation: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, pp12
TCD-CS-96-10.pdf (PDF) 72.71Kb
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 Science
Type of material:Computer Science Technical Report
Series/Report no:Computer Science Technical Report
Availability:Full text available