Abstract: "Many expert systems have been used for diagnostic analysis and design using experiential knowledge. However, there are two problems when using only experiential knowledge: (1) when an expert system encounters unexpected problems, it cannot solve the problems by using only the knowled...

Ausführliche Beschreibung

Bibliographische Detailangaben

Format:	Buch
Sprache:	English
Veröffentlicht:	Tokyo, Japan 1988
Schriftenreihe:	Shin-Sedai-Konpyūta-Gijutsu-Kaihatsu-Kikō <Tōkyō>: ICOT technical report 432
Schlagworte:	Mathematische Physik Expert systems (Computer science) Mathematical physics Reasoning
Zusammenfassung:	Abstract: "Many expert systems have been used for diagnostic analysis and design using experiential knowledge. However, there are two problems when using only experiential knowledge: (1) when an expert system encounters unexpected problems, it cannot solve the problems by using only the knowledge which it has; (2) it is difficult to acquire experiential knowledge from human experts. The necessity of introducing general principles or basic knowledge to expert systems besides experiential knowledge to solve the above problems is proposed. We proposed Qupras (Qualitative physical reasoning system), which grasps relations among physical objects and predicts the next state of a physical phenomenon, as a framework for basic knowledge. Qupras has two knowledge representations related to physical laws and objects However, there are some incomplete points in Qupras. We have enhanced Qupras; this paper describes the enhanced Qupras. The main enhanced features are (1) inheritance for representation of objects, (2) new primitive representations to describe discontinuous change, (3) meta predicates to evaluate conditions of physical rules, (4) Meta control feature for effective reasoning.
Beschreibung:	27 S. graph. Darst.