Conditionalizing on knowledge
British Journal for the Philosophy of Science 49 (1):89-121 (1998)
| Abstract | 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. | |||||||||
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Paul K. Moser (1988). The Foundations of Epistemological Probability. Erkenntnis 28 (2):231 - 251.
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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.
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