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Application of Goal Tree-Success Tree Model as the Knowledge- Base of Operator Advisory Systems.

dc.contributor.authorKim, I.S.en_US
dc.contributor.authorModarres, Mohammeden_US
dc.date.accessioned2007-05-23T09:37:11Z
dc.date.available2007-05-23T09:37:11Z
dc.date.issued1987en_US
dc.identifier.urihttp://hdl.handle.net/1903/4565
dc.description.abstractThe 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.extent1108596 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1987-57en_US
dc.titleApplication of Goal Tree-Success Tree Model as the Knowledge- Base of Operator Advisory Systems.en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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