Cheeseman (1985) argues that probability theory, interpreted as a measure of belief, is sufficient for reasoning under uncertainty in AI and that other uncertainty schemes are unnecessary.
One recorded claim. The claim panel gives its qualification, the source passages with their place in each source, and how it was checked.
What it connects
In Defense of Probability → discusses →
Where it appears
No collection page holds this claim. It is listed with its records in the explorer.