Explainable (and Maintainable) Expert Systems
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Expert Systems. Pages 382-388.
Abstract
Principled development techniques could greatly enhance the understandability of expert systems for both users and system developers. Current systems have limited explanatory capabilities and present maintenance problems because of a failure to explicitly represent the knowledge and reasoning that went into their design . This paper describes a paradigm for constructing expert systems which attempts to identify that tacit knowledge, provide means for capturing it in the knowledge bases of expert systems, and apply it towards more perspicuous machine· generated explanations and more consistent and maintainable system organization .
@inproceedings{ijcai1985p72,
title = {Explainable (and Maintainable) Expert Systems},
author = {Neches, Robert and Swartout, William R. and Moore, Johanna D.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {382--388},
year = {1985},
note = {Expert Systems},
url = {https://ijcai.org/proceedings/1985/72},
}
TY - CPAPER TI - Explainable (and Maintainable) Expert Systems AU - Neches, Robert AU - Swartout, William R. AU - Moore, Johanna D. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 382 EP - 388 UR - https://ijcai.org/proceedings/1985/72 ER -Copied
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