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Case-based reasoning and model-based knowledge-acquisition
Ist Teil von
Contemporary Knowledge Engineering and Cognition, 2006, p.97-114
Ort / Verlag
Berlin, Heidelberg: Springer Berlin Heidelberg
Erscheinungsjahr
2006
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
This chapter outlines two different yet complementary approaches to enhance cognitive adequacy in the process of knowledge engineering: model-based knowledge acquisition and case-based reasoning. Although both differ with respect to methods, goals and scientific background, arguments are advanced that a linkage of both approaches will result in a significant contribution to the methodology of knowledge acquisition for expert systems. To combine case-based reasoning techniques with conventional rule-based approaches poses the problem of when to use which technique. A conceptual framework for turn taking in problem solving is outlined that involves both heuristics of turn taking and architectural options for knowledge-based systems that impose constraints on turn taking.