On background: Using two-argument chance
Synthese 166 (1):165 - 186 (2009)
| Abstract | I follow Hájek (Synthese 137:273–323, 2003c) by taking objective probability to be a function of two propositional arguments—that is, I take conditional probability as primitive. Writing the objective probability of q given r as P(q, r), I argue that r may be chosen to provide less than a complete and exact description of the world’s history or of its state at any time. It follows that nontrivial objective probabilities are possible in deterministic worlds and about the past. A very simple chance–credence relation is also then natural, namely that reasonable credence equals objective probability. In other words, we should set our actual credence in a proposition equal to the proposition’s objective probability conditional on available background information. One advantage of that approach is that the background information is not subject to an admissibility requirement, as it is in standard formulations of the Principal Principle. Another advantage is that the “undermining” usually thought to follow from Humean supervenience can be avoided. Taking objective probability to be a two-argument function is not merely a technical matter, but provides us with vital flexibility in addressing significant philosophical issues. | |||||||||
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Ned Hall (2004). Two Mistakes About Credence and Chance. Australasian Journal of Philosophy 82 (1):93 – 111.
Richard Pettigrew (2012). Accuracy, Chance, and the Principal Principle. Philosophical Review 121 (2):241-275.
Carl Hoefer (2007). The Third Way on Objective Probability: A Sceptic's Guide to Objective Chance. Mind 116 (463):549-596.
Frank Arntzenius & Ned Hall (2003). On What We Know About Chance. British Journal for the Philosophy of Science 54 (2):171-179.
Jon Williamson (2008). Objective Bayesianism with Predicate Languages. Synthese 163 (3):341 - 356.
Carl Hoefer (2007). The Third Way on Objective Probability: A Sceptic's Guide to Objective Chance. Mind 116 (463):549 - 596.
Aidan Lyon (2010). Deterministic Probability: Neither Chance nor Credence. Synthese 182 (3):413-432.
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