Empirical and Model-Based Reasoning in Expert Systems
Abstract
Many expert systems are now being written which rely on highly-compiled, empirical knowledge for their reasoning power. Model-based reasoning has significant theoretical advantages. I constructed two expert systems for the same domain, one using large-grained compiled knowledge, the second using model-based reasoning. The use of model-based reasoning resulted in improved knowledge accessibility and flexibility, and expanded problem-solving ability.
Cite
Text
Koton. "Empirical and Model-Based Reasoning in Expert Systems." International Joint Conference on Artificial Intelligence, 1985.Markdown
[Koton. "Empirical and Model-Based Reasoning in Expert Systems." International Joint Conference on Artificial Intelligence, 1985.](https://mlanthology.org/ijcai/1985/koton1985ijcai-empirical/)BibTeX
@inproceedings{koton1985ijcai-empirical,
title = {{Empirical and Model-Based Reasoning in Expert Systems}},
author = {Koton, Phyllis},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1985},
pages = {297-299},
url = {https://mlanthology.org/ijcai/1985/koton1985ijcai-empirical/}
}