Uncertainty in Artificial Intelligence
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Objective Probability
Henry Kyburg Jr.
Abstract:
A distinction is sometimes made between "statistical" and "subjective" probabilities. This is based on a distinction between "unique" events and "repeatable" events. We argue that this distinction is untenable, since all events are "unique" and all events belong to "kinds", and offer a conception of probability for A1 in which (1) all probabilities are based on -- possibly vague -- statistical knowledge, and (2) every statement in the language has a probability. This conception of probability can be applied to very rich languages.
Keywords:
Pages: 148-155
PS Link:
PDF Link: /papers/87/p148-kyburg.pdf
BibTex:
@INPROCEEDINGS{Kyburg Jr.87,
AUTHOR = "Henry Kyburg Jr. ",
TITLE = "Objective Probability",
BOOKTITLE = "Proceedings of the Third Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1987",
PAGES = "148--155"
}


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