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Knowledge Engineering Requirements in Derivational Analogy |
Cunningham, Padraig; Slattery, Sean; Finn, Donal
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TCD-CS-93-21 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.
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Keyword(s):
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Computer Science |
Publication Date:
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1993 |
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Type:
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Report |
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Peer-Reviewed:
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Unknown |
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Language(s):
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English |
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Institution:
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Trinity College Dublin |
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Citation(s):
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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, pp12 |
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Publisher(s):
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Trinity College Dublin, Department of Computer Science |
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File Format(s):
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application/pdf |
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First Indexed:
2014-05-13 05:27:09 Last Updated:
2015-04-10 05:14:23 |
