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Improving the use of visual interactive simulation as a knowledge elicitation tool
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Robinson, Stewart, 1964-, Lee, Ernie and Edwards, John S. (2006) Improving the use of visual interactive simulation as a knowledge elicitation tool. In: 4th International Industrial Simulation Conference, Univ Palermo, Palermo, ITALY, JUN 05-07, 2006. Published in: 4th International Industrial Simulation Conference 2006 pp. 479-485.
Full text not available from this repository.Abstract
Knowledge elicitation is a well-known bottleneck in the production of knowledge-based systems (KBS). This is mainly due to the tacit property of knowledge, which makes it difficult to be explicated, and hence analysed. Past research has shown that visual interactive simulation (VIS) could effectively be used to elicit episodic knowledge that is appropriate for machine learning (an AI capability that includes inductive learning) purposes, with a view of building a KBS. Nonetheless, the VIS-based elicitation process still has much room for improvement. Based in the Ford Dagenham Engine Assembly Plant, a research project is being undertaken to investigate the individual/joint effects of visual display level and mode of problem case generation on the elicitation process. This paper looks at the methodology employed and some issues that have been encountered to date.
| Item Type: | Conference Item (UNSPECIFIED) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology |
| Journal or Publication Title: | 4th International Industrial Simulation Conference 2006 |
| Publisher: | EUROSIS |
| ISBN: | 978-90-77381-26-7 |
| Editor: | Genco, A and Gentile, A and Sorce, S |
| Date: | 2006 |
| Number of Pages: | 7 |
| Page Range: | pp. 479-485 |
| Publication Status: | Published |
| Title of Event: | 4th International Industrial Simulation Conference |
| Location of Event: | Univ Palermo, Palermo, ITALY |
| Date(s) of Event: | JUN 05-07, 2006 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/30984 |
Data sourced from Thomson Reuters' Web of Knowledge
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