Name
Abstract | ||
|---|---|---|
First generation expert systems used shallow knowledge based on heuristic information to solve a diagnostic problem. This approach has many disadvantages, which can be avoided with the use of deep knowledge. Diagnostic reasoning based on deep knowledge is called model based diagnoses. Recently the use of qualitative modeling in relation to deep knowledge in expert systems is increasingly important.Model based reasoning in our diagnostic system is performed with simulation process on qualitative system model. The qualitative system model needs not to be specially adopted for use in a diagnostic domain. It only needs to simulate system behavior expressed by normal or abnormal functioning of its components. Proposed architecture is not complex, is very efficiently and simply takes into account previous diagnostic result to obtain a new one from additional observation measurement (medical tests or examinations) of the system. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/ICSMC.1998.726728 | 1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5 |
Keywords | Field | DocType |
medicine,expert system,biomedical informatics,computer science,expert systems,mechanical engineering,model based reasoning,system modeling,medical simulation,knowledge base | Heuristic,Computer science,Expert system,Model-based reasoning,Artificial intelligence,Diagnostic reasoning,Machine learning,Medical diagnosis,System model,Legal expert system,Deep knowledge | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marjan Družovec | 1 | 30 | 9.23 |
| adolf sostar | 2 | 0 | 0.34 |