Williamson, J. (2008) Objective Bayesianism with predicate languages. In: Conference on Experimental Reasoning, Reliability, Objectivity, and Rationality - Induction, Statistics, and Modeling (ERROR 2006), June 2006, Virginia Tech, Blacksburg, VA.
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Objective Bayesian probability is often defined over rather simple domains, e.g., finite event spaces or propositional languages. This paper investigates the extension of objective Bayesianism to first-order logical languages. It is argued that the objective Bayesian should choose a probability function, from all those that satisfy constraints imposed by background knowledge, that is closest to a particular frequency-induced probability function which generalises the λ = 0 function of Carnap’s continuum of inductive methods.
|Item Type:||Conference or workshop item (Paper)|
|Uncontrolled keywords:||Bayesianism; objective Bayesianism; Bayesian epistemology; formal epistemology; inductive logic; probabilistic logic|
|Subjects:||B Philosophy. Psychology. Religion > B Philosophy (General)
B Philosophy. Psychology. Religion > BC Logic
Q Science > QA Mathematics (inc Computing science) > QA273 Probabilities
|Divisions:||Faculties > Humanities > School of European Culture and Languages|
|Depositing User:||Jon Williamson|
|Date Deposited:||18 Mar 2009 17:10|
|Last Modified:||20 Jan 2012 15:00|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/9587 (The current URI for this page, for reference purposes)|
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