David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
Synthese 90 (2):263 - 299 (1992)
This article sketches a theory of objective probability focusing on nomic probability, which is supposed to be the kind of probability figuring in statistical laws of nature. The theory is based upon a strengthened probability calculus and some epistemological principles that formulate a precise version of the statistical syllogism. It is shown that from this rather minimal basis it is possible to derive theorems comprising (1) a theory of direct inference, and (2) a theory of induction. The theory of induction is not of the familiar Bayesian variety, but consists of a precise version of the traditional Nicod Principle and its statistical analogues.
|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.
Roderick M. Chisholm (1966). Theory of Knowledge. Englewood Cliffs, N.J.,Prentice-Hall.
Roderick M. Chisholm (1957). Perceiving: A Philosophical Study. Cornell University Press.
Citations of this work BETA
No citations found.
Similar books and articles
Patrick Maher (2010). Bayesian Probability. Synthese 172 (1):119 - 127.
Paul K. Moser (1988). The Foundations of Epistemological Probability. Erkenntnis 28 (2):231 - 251.
Alan Hájek (2001). Probability, Logic, and Probability Logic. In Lou Goble (ed.), The Blackwell Guide to Philosophical Logic. Blackwell Publishers 362--384.
John Pollock (2011). Reasoning Defeasibly About Probabilities. Synthese 181 (2):317 - 352.
John L. Pollock (1986). The Paradox of the Preface. Philosophy of Science 53 (2):246-258.
Added to index2009-01-28
Total downloads216 ( #14,303 of 1,934,966 )
Recent downloads (6 months)5 ( #113,693 of 1,934,966 )
How can I increase my downloads?