Application of Goal Tree-Success Tree Model as the Knowledge- Base of Operator Advisory Systems.
| dc.contributor.author | Kim, I.S. | en_US |
| dc.contributor.author | Modarres, Mohammed | en_US |
| dc.contributor.department | ISR | en_US |
| dc.date.accessioned | 2007-05-23T09:37:11Z | |
| dc.date.available | 2007-05-23T09:37:11Z | |
| dc.date.issued | 1987 | en_US |
| dc.description.abstract | The most important portion of an expert system development is the articulation of knowledge by the expert and its satisfactory formulation in a suitable knowledge representation scheme for mechanization by a computer. A "deep knowledge" approach called Goal Tree-Success Tree model is devised to represent complex dynamic domain knowledge. This approach can hierarchically model the underlying principles of a given process domain (for example nuclear power plant operations domain). The Goal Tree-Success Tree can then be used to represent the knowledge-base and provide means of selecting an efficient search routine in the inference engine of an expert system. | en_US |
| dc.format.extent | 1108596 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1903/4565 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | ISR; TR 1987-57 | en_US |
| dc.title | Application of Goal Tree-Success Tree Model as the Knowledge- Base of Operator Advisory Systems. | en_US |
| dc.type | Technical Report | en_US |
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