Knowledge engineering requirements in derivational analogy

Abstract

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.

Case-based planning

“…Since first introduced by Carbonell (1986) and operationalized into an implemented system (Carbonell & Veloso, 1988;Veloso & Carbonell, 1994), derivational analogy has been the subject of numerous studies. These include its application to partial-order planning (Ihrig & Kambhampati, 1997;Muñ oz-Avila & Weberskirch, 1996), its integration with mixed-initiative planning Veloso et al, 1997), and its relevance to knowledge requirements (Cunningham et al, 1994). Rather than adapt an old solution as a function of the difference between the current and past planning contexts, this approach adapts the derivation of the past solution to derive a new solution or plan.…”

A Case-Based Reasoning View of Automated Collaborative Filtering

“…The implication is that this retrieval and adaptation process is simpler to implement than the First Principles reasoning. The case based reasoning process; SP is a specification of a target problem and SL is a solution to that problem, SP' and SL' form a case that is retrieved to solve for this new problem (Cunningham, Finn & Slattery, 1994).…”

Current status of case-retrieval in engineering domains: an analysis from the knowledge engineering perspective

“…In particular CBR systems can be developed without explicit encoding of problem solving knowledge." [3] 0950-7051/96/$15.00 © 1996 Elsevier Science B.V. All rights reserved SSDI 0950-7051(95)01021-1…”