Knowledge engineering concepts for decision support system design and implementation

作者: Joyce J. Elam , John C. Henderson

DOI: 10.1016/0378-7206(83)90004-6

关键词:

摘要: Abstract The design of computer-based systems that simulate expert human consulting by drawing on large amounts task-specific knowledge has been a major research activity applied artificial intelligence over the last ten years. Building decision support incorporate aspects this is promising new field. purpose paper to discuss concepts “knowledge engineering” are most relevant in designing and building knowledge-based systems.

参考文章(9)
Peter Szolovits, Stephen G. Pauker, Categorical and probabilistic reasoning in medical diagnosis Artificial Intelligence. ,vol. 11, pp. 282- 297 ,(1990) , 10.1016/0004-3702(78)90014-0
John C Henderson, Joyce J Elam, Louis W Miller, MODEL MANAGEMENT SYSTEMS: AN APPROACH TO DECISION SUPPORT IN COMPLEX ORGANIZATIONS international conference on information systems. pp. 8- ,(1980)
Nicholas V. Findler, Associative Networks: The Representation and Use of Knowledge by Computers American Journal of Computational Linguistics, Volume 6, Number 2, April-June 1980. ,(1979)
Robert H. Bonczek, Clyde W. Holsapple, Andrew B. Whinston, COMPUTER-BASED SUPPORT OF ORGANIZATIONAL DECISION MAKING Decision Sciences. ,vol. 10, pp. 268- 291 ,(1979) , 10.1111/J.1540-5915.1979.TB00024.X
Randall Davis, Bruce Buchanan, Edward Shortliffe, Production rules as a representation for a knowledge-based consultation program Artificial Intelligence. ,vol. 8, pp. 15- 45 ,(1977) , 10.1016/0004-3702(77)90003-0
Marvin L. Minsky, Semantic Information Processing ,(1968)
Ed Feigenbaum, The art of artificial intelligence- Themes and case studies of knowledge engineering Managing Requirements Knowledge, International Workshop on. pp. 227- 227 ,(1978) , 10.1109/AFIPS.1978.191