Abstract: "This paper describes a knowledge acquisition support system which presumes knowledge fragments by induction. In this system, human problem solving knowledge is extracted as a set of operations. There are three knowledge acquisition phases in the knowledge acquisition process. The fir...

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Bibliographische Detailangaben

Hauptverfasser:	Taki, Hirokazu (VerfasserIn), Fujii, Yuichi (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Tokyo, Japan 1989
Schriftenreihe:	Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 450
Schlagworte:	Induction (Logic) Problem solving
Zusammenfassung:	Abstract: "This paper describes a knowledge acquisition support system which presumes knowledge fragments by induction. In this system, human problem solving knowledge is extracted as a set of operations. There are three knowledge acquisition phases in the knowledge acquisition process. The first is the expert model construction phase, in which problem solving knowledge is extracted as a set of operations and the type of each operation is defined. Operation types are prepared by this system. The second phase is the model instantiation phase, in which the system extracts detailed knowledge according to the operation types [sic Sometimes, it is not easy to extract detailed information without knowledge seeds. Therefore, this system supports an inductive mechanism which makes operation presumptions in order to stimulate human experts to associate detailed knowledge. The third phase is the knowledge refinement phase, in which the system inference engine evaluates the knowledge base at the operation level to check whether the knowledge is sufficient. This paper introduces an interactive knowledge acquisition support system, EPSILON; knowledge representation, Expert Model; an interactive knowledge acquisition method, pre-post method; and an operation presumption method.