| Download | - View accepted manuscript: Towards the Visualization and Understanding of Diagnoses in a Physical System (PDF, 488 KiB)
|
|---|
| Author | Search for: Abu-Hakima, Suhayya |
|---|
| Format | Text, Article |
|---|
| Conference | Proceedings of the Tenth National Conference on Artificial Intelligence (AAAI-92) Workshop on Communicating Scientific and Technical Information, July 15, 1992., San José, California, USA |
|---|
| Abstract | Diagnosis of physical systems such as car or aircraft engines tends to be a complex activity. Technicians combine textual manuals with schematics and some analysis of measured data to diagnose and repair engines. Knowledge-based system designers have added heuristics to hypermedia (mostly text and graphic) representations of manuals to simplify the tasks of the technicians as in JETA [Halasz91]. Knowledge browsers for such systems are used by the knowledgeengineers to structure and input the knowledge base and in a limited capacity are used to help the domain experts visualize the knowledge and the various possible relations as implemented for the JETA browser. In RATIONALE, a diagnostic system that reasons by explaining, explanation was used to understand the reasoning in the knowledge-based system [Abu-Hakima90]. This position paper argues that although these knowledge-based approaches help in the visualization and understanding of diagnoses in physical systems, they need to be improved and better integrated into an overall diagnostic system. Some of the many issues that arise in trying to achieve this are discussed in the paper. |
|---|
| Publication date | 1992 |
|---|
| Language | English |
|---|
| NRC number | NRCC 33198 |
|---|
| NPARC number | 8913381 |
|---|
| Export citation | Export as RIS |
|---|
| Report a correction | Report a correction (opens in a new tab) |
|---|
| Record identifier | f4c57e19-43a6-48fe-8dbf-05d13531d269 |
|---|
| Record created | 2009-04-22 |
|---|
| Record modified | 2020-04-24 |
|---|
