Detecting Ambiguity: An Example in Knowledge Evaluation
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 182-183.
Abstract
Expert systems have been developed around one expert partly because the expert has been totally responsible for the soundness of the knowledge bas e. Without strong aids to help ensure soundness in building expert systems, we must rely on the soundness of the mature cohesiveness of a human expert. As knowledge bases grow this mature expertise will not b e adequate. We propose a new method {for expert systems) to aid the expert in knowledge evaluation within the rule-based system setting . We consider th e problem of ambiguity within a classification system as an example of the proposed technique.
@inproceedings{ijcai1983p43,
title = {Detecting Ambiguity: An Example in Knowledge Evaluation},
author = {Loveland, Donald W. and Valtorta, Marco},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {182--183},
year = {1983},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1983/43},
}
TY - CPAPER TI - Detecting Ambiguity: An Example in Knowledge Evaluation AU - Loveland, Donald W. AU - Valtorta, Marco T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 182 EP - 183 UR - https://ijcai.org/proceedings/1983/43 ER -Copied
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