David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
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)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Nelson Goodman (1983). Fact, Fiction, and Forecast. Harvard University Press.
Rudolf Carnap (1962). Logical Foundations of Probability. Chicago]University of Chicago Press.
Isaac Levi (1980). The Enterprise of Knowledge: An Essay on Knowledge, Credal Probability, and Chance. The MIT Press.
Ian Hacking (1995). The Emergence of Probability. Cambridge : Cambridge University Press.
Citations of this work BETA
No citations found.
Similar books and articles
Hector Geffner (1992). High-Probabilities, Model-Preference and Default Arguments. Minds and Machines 2 (1):51-70.
John Pollock (2011). Reasoning Defeasibly About Probabilities. Synthese 181 (2):317 - 352.
Haim Gaifman (2004). Reasoning with Limited Resources and Assigning Probabilities to Arithmetical Statements. Synthese 140 (1-2):97 - 119.
Franz Huber (2005). Subjective Probabilities as Basis for Scientific Reasoning? British Journal for the Philosophy of Science 56 (1):101-116.
John L. Pollock (1990). Nomic Probability and the Foundations of Induction. Oxford University Press.
Paul Weirich (1983). Conditional Probabilities and Probabilities Given Knowledge of a Condition. Philosophy of Science 50 (1):82-95.
B. D. Katz & D. Olin (2010). Conditionals, Probabilities, and Utilities: More on Two Envelopes. Mind 119 (473):171-183.
Benedikt Lowe, Jan-Willem Romeijn & Eric Pacuit (eds.) (2008). Proceedings of the Foundations of the Formal Sciences VI: Reasoning About Probabilities and Probabilistic Reasoning. College Publications.
Niki Pfeifer & G. D. Kleiter (2007). Human Reasoning with Imprecise Probabilities: Modus Ponens and Denying the Antecedent. In Proceedings of the 5 T H International Symposium on Imprecise Probability: Theories and Applications. 347--356.
S. B. (1997). Henri Poincare and Bruno de Finetti: Conventions and Scientific Reasoning. Studies in History and Philosophy of Science Part A 28 (4):657-679.
Added to index2009-01-28
Total downloads16 ( #240,213 of 1,935,082 )
Recent downloads (6 months)1 ( #434,530 of 1,935,082 )
How can I increase my downloads?