Truth Maintenance Under Uncertainty
Abstract
This paper addresses the problem of resolving errors under uncertainty in a rule-based system. A new approach has been developed that reformulates this problem as a neural-network learning problem. The strength and the fundamental limitations of this approach are explored and discussed. The main result is that neural heuristics can be applied to solve some but not all problems in rule-based systems.
Cite
Text
Fu. "Truth Maintenance Under Uncertainty." Conference on Uncertainty in Artificial Intelligence, 1988.Markdown
[Fu. "Truth Maintenance Under Uncertainty." Conference on Uncertainty in Artificial Intelligence, 1988.](https://mlanthology.org/uai/1988/fu1988uai-truth/)BibTeX
@inproceedings{fu1988uai-truth,
title = {{Truth Maintenance Under Uncertainty}},
author = {Fu, Li-Min},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1988},
url = {https://mlanthology.org/uai/1988/fu1988uai-truth/}
}