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Knowledge Engineering Requirements in Derivational Analogy |
Cunningham, Padraig; Finn, Donal; Slattery, Sean
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TCD-CS-96-10 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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1996 |
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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; Finn, Donal; Slattery, Sean. 'Knowledge Engineering Requirements in Derivational Analogy'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-96-10, 1996, 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 05:41:53 Last Updated:
2015-04-10 05:10:07 |
