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Causal Knowledge Elicitation Based on Elicitation Failures
October 1995 (vol. 7 no. 5)
pp. 725-739

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.

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Index Terms:
Causal explanation, causal knowledge, expert system, heuristic knowledge, knowledge elicitation.
Citation:
Silvano Mussi, "Causal Knowledge Elicitation Based on Elicitation Failures," IEEE Transactions on Knowledge and Data Engineering, vol. 7, no. 5, pp. 725-739, Oct. 1995, doi:10.1109/69.469824
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