Name
Abstract | ||
|---|---|---|
The design and philosophy are presented for an intelligent aid for a human operator who must diagnose a novel fault in a physical system. A novel failure is defined as one that the operator has not experienced in either real system operation or training. Because the fault is novel, the human must reason using causal knowledge. The aid contains unique features that support such reasoning. One of these is a qualitative, component-level model of the physical system. The model can reflect the operator's hypothesis when it is requested. Both the aid and the human are able to reason causally about the system in a cooperative search for a diagnosis |
Year | DOI | Venue |
|---|---|---|
1988 | 10.1109/21.87062 | Systems, Man and Cybernetics, IEEE Transactions |
Keywords | Field | DocType |
decision support systems,failure analysis,causal knowledge,component-level model,decision support systems,failure analysis,human operator,intelligent aid,novel fault diagnosis | Human operator,Physical system,Computer science,Expert system,Decision support system,Operator performance,Operator (computer programming),Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
18 | 1 | 0018-9472 |
Citations | PageRank | References |
8 | 1.13 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wan Chul Yoon | 1 | 147 | 19.80 |
| John M. Hammer | 2 | 34 | 7.92 |