Knowledge Compilation and Refinement for Fault Diagnosis

IEEE Expert-Intelligent Systems and their Applications

Volumn 6, Issue 5, 1991, Pages 39-46

  Kobayashi, Shigenobu ^a   Nakamura, Kotaro ^b  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b JAPAN TOBACCO INC   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CIGARETTE MANUFACTURE - COMPUTER APPLICATIONS;

FAULT DIAGNOSIS; KNOWLEDGE COMPILATION; KNOWLEDGE REFINEMENT;

EXPERT SYSTEMS;

EID: 0026243313     PISSN: 08859000     EISSN: None     Source Type: Journal    
DOI: 10.1109/64.97790     Document Type: Article

References (9)

1. K. Nakamura and S. Kobayashi, “An Interactive Case-Based Reasoning Model and Its Application to Supporting Fault Diagnosis,” J. Japanese Soc. for Artificial Intelligence, Vol. 4, No. 6. 1989, pp. 704–713 (in Japanese).
2. R. Davis. “Diagnostic Reasoning Based on Structure and Behavior,” Artificial Intelligence, Vol. 24, Nos. 1-3, 1984, pp. 347–410.
3. Proc. DARPA 1989 Case-Based Reasoning Workshop, Morgan Kaufmann, San Mateo, Calif., 1989.
4. Machine Learning, Vol. 2, R.S. Michalski et al., eds., Tioga Publishing, Palo Alto, Calif., 1986.
5. S. Kobayashi et al., “Research Activities of Knowledge Acquisition and Learning in Japan,” Proc. 1990 Japanese Knowledge Acquisition Workshop, Ohmsha, Tokyo, pp. 113–133.
6. R.M. Keller, “Defining Operationality for Explanation-Based Learning,” Artificial Intelligence, Vol. 35, No. 2, 1988, pp. 227–241.
7. R. Barletta, “Explanation-Based Indexing of Cases,” Proc. Nat'l Conf. Artificial Intelligence {AAAI 88), MIT Press, Cambridge, Mass., 1988, pp. 541–546.
8. Y. Koseki, “Experience Learning in Model-Based Diagnostic Systems,” Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI 89), Morgan Kaufmann, San Mateo, Calif., 1989, pp. 1,356–1,362.
9. T.M. Mitchell et al., “Leap: A Learning Apprentice for VLSI Design,” Proc. Int'l Joint Conf. Artificial Intelligence (IJCAI 85), Morgan Kaufmann, San Mateo, Calif., 1985, pp. 573–580.