DocumentCode :
1021876
Title :
Causal knowledge elicitation based on elicitation failures
Author :
Mussi, Silvano
Author_Institution :
CILEA, Italy
Volume :
7
Issue :
5
fYear :
1995
fDate :
10/1/1995 12:00:00 AM
Firstpage :
725
Lastpage :
739
Abstract :
The paper presents an approach to causal knowledge elicitation supported by a tool directly used by the domain expert. This knowledge elicitation approach is characterized by trying to guess an interpretation of the knowledge entered by the expert. The tool (initially general), as it is used, self customizes its guessing capability, remembers failures in guessing (in order to avoid similar failures in the future) and when they occur elicits their explanations. Even in this case, elicitation is supported by guessing on the basis of previous similar failures. The resulting overall effect is that the tool digs up tenaciously causal knowledge from the expert´s mind, playing in this way a cooperative role for model building
Keywords :
expert systems; explanation; knowledge acquisition; causal explanation; causal knowledge elicitation; cooperative role; elicitation failures; expert system; guessing capability; heuristic knowledge; model building; tenaciously causal knowledge; Buildings; Cancer; Costs; Expert systems; Helium; Knowledge acquisition; Knowledge engineering; Knowledge representation; Medical treatment; Proposals;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/69.469824
Filename :
469824
Link To Document :
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