Explainable (and Maintainable) Expert Systems
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.
Cite
Text
Neches et al. "Explainable (and Maintainable) Expert Systems." International Joint Conference on Artificial Intelligence, 1985.Markdown
[Neches et al. "Explainable (and Maintainable) Expert Systems." International Joint Conference on Artificial Intelligence, 1985.](https://mlanthology.org/ijcai/1985/neches1985ijcai-explainable/)BibTeX
@inproceedings{neches1985ijcai-explainable,
title = {{Explainable (and Maintainable) Expert Systems}},
author = {Neches, Robert and Swartout, William R. and Moore, Johanna D.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1985},
pages = {382-389},
url = {https://mlanthology.org/ijcai/1985/neches1985ijcai-explainable/}
}