Name
Abstract | ||
|---|---|---|
An architecture for diagnosis that uses qualitative endorsements as its principal method of uncertainty abstraction and propagation is presented. The framework performs local belief computations in a hierarchical hypothesis space, in contrast with methods that propagate evidence throughout the whole frame of discernment. In this system, global control of the decision making process is maintained by local evaluations of belief status. These local evaluations determine an active focus in which refinement of belief status is undertaken by gathering additional information. The main goal of the research project is the development of a framework for reasoning with endorsements, and the diagnostic application explicated in the paper is built as a proof-of-principle. |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1145/98784.98878 | IEA/AIE (Vol. 1) |
Keywords | Field | DocType |
diagnostic application,local belief computation,hierarchical hypothesis space,additional information,main goal,principal method,active focus,local evaluation,belief management architecture,belief status,diagnostic problem,global control,proof of principle,decision making process | Management architecture,Architecture,Abstraction,Computer science,Artificial intelligence,Machine learning,Decision-making,Discernment,Computation | Conference |
ISBN | Citations | PageRank |
0-89791-372-8 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Serdar Uckun | 1 | 105 | 22.54 |
| Benoit M. Dawant | 2 | 1388 | 223.11 |
| Gautam Biswas | 3 | 1594 | 233.43 |
| Kazuhiko Kawamura | 4 | 366 | 68.28 |