Uncertainty in Artificial Intelligence
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A Knowledge Engineer's Comparison of Three Evidence Aggregation Methods
Donald Mitchell, Steven Harp, David Simkin
Abstract:
The comparisons of uncertainty calculi from the last two Uncertainty Workshops have all used theoretical probabilistic accuracy as the sole metric. While mathematical correctness is important, there are other factors which should be considered when developing reasoning systems. These other factors include, among other things, the error in uncertainty measures obtainable for the problem and the effect of this error on the performance of the resulting system.
Keywords:
Pages: 297-304
PS Link:
PDF Link: /papers/87/p297-mitchell.pdf
BibTex:
@INPROCEEDINGS{Mitchell87,
AUTHOR = "Donald Mitchell and Steven Harp and David Simkin",
TITLE = "A Knowledge Engineer's Comparison of Three Evidence Aggregation Methods",
BOOKTITLE = "Proceedings of the Third Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1987",
PAGES = "297--304"
}


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