Abstract: "This paper describes a learning method for building knowledge bases. There are two types of knowledge acquisition systems that extract knowledge from human experts: interactive and non-interactive. This paper describes a non-interactive knowledge acquisition system that acquires know...

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Bibliographische Detailangaben

1. Verfasser:	Taki, Hirokazu (VerfasserIn)
Format:	Buch
Sprache:	English
Veröffentlicht:	Tokyo, Japan 1988
Schriftenreihe:	Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 387
Schlagworte:	Expert systems (Computer science)
Zusammenfassung:	Abstract: "This paper describes a learning method for building knowledge bases. There are two types of knowledge acquisition systems that extract knowledge from human experts: interactive and non-interactive. This paper describes a non-interactive knowledge acquisition system that acquires knowledge from a human expert by observation. It learns strategies that the human expert uses to solve problems and makes logical rules from temporal sequential data. The learning method of the knowledge acquisition system is interpretation based learning (IBL), which uses advance knowledge in the learning process. The IBL has two subsystems: an interpretation system and a learning system The interpretation system translates real world information to internal rule form. The rule maintenance system generalizes and specializes knowledge. In this paper, the interpretation system and pre-processes of the rule generalization are introduced.
Beschreibung:	9 S.