Expert System Validation through Knowledge Base Refinement
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Knowledge Base Technology. Pages 477-481.
Abstract
Knowledge base (KB) refinement is a suitable technique to support expert system (ES) validation. When used for validation, KB refinement should be guided not only by the number of errors to solve but also by the importance of those errors. Most serious errors should be solved first, even causing other errors of lower importance but assuring a neat validity gain. These are the bases for IMPROVER, a KB refinement tool designed to support ES validation. IMPROVER refines ES for medical diagnosis with this classification of error importance: false negative > false positive > ordering mismatch. IMPROVER is being used to validate a real ES and some empirical results are given.
@inproceedings{ijcai1993p67,
title = {Expert System Validation through Knowledge Base Refinement},
author = {Meseguer, Pedro},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {477--481},
year = {1993},
note = {Knowledge Base Technology},
url = {https://ijcai.org/proceedings/1993/67},
}
TY - CPAPER TI - Expert System Validation through Knowledge Base Refinement AU - Meseguer, Pedro T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 477 EP - 481 UR - https://ijcai.org/proceedings/1993/67 ER -Copied
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