David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
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
No references found.
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.
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.
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.
B. D. Katz & D. Olin (2010). Conditionals, Probabilities, and Utilities: More on Two Envelopes. Mind 119 (473):171-183.
Paul Weirich (1983). Conditional Probabilities and Probabilities Given Knowledge of a Condition. Philosophy of Science 50 (1):82-95.
John L. Pollock (1990). Nomic Probability and the Foundations of Induction. Oxford University Press.
Franz Huber (2005). Subjective Probabilities as Basis for Scientific Reasoning? British Journal for the Philosophy of Science 56 (1):101-116.
Haim Gaifman (2004). Reasoning with Limited Resources and Assigning Probabilities to Arithmetical Statements. Synthese 140 (1-2):97 - 119.
John Pollock (2011). Reasoning Defeasibly About Probabilities. Synthese 181 (2):317 - 352.
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 downloads9 ( #163,302 of 1,099,763 )
Recent downloads (6 months)1 ( #303,541 of 1,099,763 )
How can I increase my downloads?