Uncertainty in Artificial Intelligence
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Truth Maintenance Under Uncertainty
Li-Min Fu
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.
Keywords:
Pages: 119-126
PS Link:
PDF Link: /papers/88/p119-fu.pdf
BibTex:
@INPROCEEDINGS{Fu88,
AUTHOR = "Li-Min Fu ",
TITLE = "Truth Maintenance Under Uncertainty",
BOOKTITLE = "Proceedings of the Fourth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-88)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1988",
PAGES = "119--126"
}


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