David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
British Journal for the Philosophy of Science 49 (1):89-121 (1998)
A theory of evidential probability is developed from two assumptions:(1) the evidential probability of a proposition is its probability conditional on the total evidence;(2) one's total evidence is one's total knowledge. Evidential probability is distinguished from both subjective and objective probability. Loss as well as gain of evidence is permitted. Evidential probability is embedded within epistemic logic by means of possible worlds semantics for modal logic; this allows a natural theory of higher-order probability to be developed. In particular, it is emphasized that it is sometimes uncertain which propositions are part of one's total evidence; some surprising implications of this fact are drawn out.
|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
Darren Bradley (2011). Confirmation in a Branching World: The Everett Interpretation and Sleeping Beauty. British Journal for the Philosophy of Science 62 (2):323-342.
Igor Douven & Diederik Olders (2008). Unger's Argument for Skepticism Revisited. Theoria 74 (3):239-250.
Brian Weatherson (2005). Should We Respond to Evil with Indifference? Philosophy and Phenomenological Research 70 (3):613–635.
Kevin Nelson (2009). On Background: Using Two-Argument Chance. Synthese 166 (1):165 - 186.
Hannes Leitgeb (2013). Reducing Belief Simpliciter to Degrees of Belief. Annals of Pure and Applied Logic 164 (12):1338-1389.
Similar books and articles
Dylan Dodd (2007). Why Williamson Should Be a Sceptic. Philosophical Quarterly 57 (229):635–649.
Paul Bartha & Christopher Hitchcock (1999). The Shooting-Room Paradox and Conditionalizing on Measurably Challenged Sets. Synthese 118 (3):403-437.
Gregory Wheeler & Jon Williamson (2011). Evidential Probability and Objective Bayesian Epistemology. In Prasanta S. Bandyopadhyay & Malcolm Forster (eds.), Handbook of the Philosophy of Statistics. Elsevier.
Paul K. Moser (1988). The Foundations of Epistemological Probability. Erkenntnis 28 (2):231 - 251.
Roger White (2009). Evidential Symmetry and Mushy Credence. In T. Szabo Gendler & J. Hawthorne (eds.), Oxford Studies in Epistemology. Oxford University Press. 161-186.
Alan Hájek (2001). Probability, Logic, and Probability Logic. In Lou Goble (ed.), The Blackwell Guide to Philosophical Logic. Blackwell Publishers. 362--384.
Peter Achinstein (1994). Stronger Evidence. Philosophy of Science 61 (3):329-350.
Richard Swinburne (2002). Introduction to Bayes's Theorem. In Bayes’s Theorem. Oxford Univ Pr.
Added to index2009-01-28
Total downloads45 ( #44,967 of 1,679,396 )
Recent downloads (6 months)7 ( #33,959 of 1,679,396 )
How can I increase my downloads?