Uncertainty in Artificial Intelligence
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Computing Reference Classes
Ronald Loui
Abstract:
For any system with limited statistical knowledge, the combination of evidence and the interpretation of sampling information require the determination of the right reference class (or of an adequate one). The present note (1) discusses the use of reference classes in evidential reasoning, and (2) discusses implementations of Kyburg's rules for reference classes. This paper contributes the first frank discussion of how much of Kyburg's system is needed to be powerful, how much can be computed effectively, and how much is philosophical fat.
Keywords: Reference Classes, Evidential Reasoning
Pages: 183-188
PS Link:
PDF Link: /papers/86/p183-loui.pdf
BibTex:
@INPROCEEDINGS{Loui86,
AUTHOR = "Ronald Loui ",
TITLE = "Computing Reference Classes",
BOOKTITLE = "Proceedings of the Second Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-86)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1986",
PAGES = "183--188"
}


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