How to use probabilities in reasoning

Philosophical Studies 64 (1):65 - 85 (1991)
Probabilities are important in belief updating, but probabilistic reasoning does not subsume everything else (as the Bayesian would have it). On the contrary, Bayesian reasoning presupposes knowledge that cannot itself be obtained by Bayesian reasoning, making generic Bayesianism an incoherent theory of belief updating. Instead, it is indefinite probabilities that are of principal importance in belief updating. Knowledge of such indefinite probabilities is obtained by some form of statistical induction, and inferences to non-probabilistic conclusions are carried out in accordance with the statistical syllogism. Such inferences have been the focus of much attention in the nonmonotonic reasoning literature, but the logical complexity of such inference has not been adequately appreciated
Keywords No keywords specified (fix it)
Categories (categorize this paper)
DOI 10.1007/BF00356090
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history
Request removal from index
Download options
Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 27,215
Through your library
References found in this work BETA
Fact, Fiction, and Forecast.Nelson Goodman - 1955 - Harvard University Press.
Logical Foundations of Probability.Rudolf Carnap - 1950 - Chicago]University of Chicago Press.
The Emergence of Probability.Ian Hacking - 1995 - Cambridge: Cambridge University Press.

View all 14 references / Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles

Monthly downloads

Added to index


Total downloads

17 ( #282,365 of 2,164,562 )

Recent downloads (6 months)

1 ( #347,948 of 2,164,562 )

How can I increase my downloads?

My notes
Sign in to use this feature

There  are no threads in this forum
Nothing in this forum yet.

Other forums