David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Synthese 172 (1):119 - 127 (2010)
Bayesian decision theory is here construed as explicating a particular concept of rational choice and Bayesian probability is taken to be the concept of probability used in that theory. Bayesian probability is usually identified with the agent’s degrees of belief but that interpretation makes Bayesian decision theory a poor explication of the relevant concept of rational choice. A satisfactory conception of Bayesian decision theory is obtained by taking Bayesian probability to be an explicatum for inductive probability given the agent’s evidence.
|Keywords||Bayesian probability Logical probability Inductive probability Subjective probability Degrees of belief Decision theory Expected utility Explication Carnap|
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References found in this work BETA
Rudolf Carnap (1962). Logical Foundations of Probability. Chicago]University of Chicago Press.
Rudolf Carnap (1952). The Continuum of Inductive Methods. [Chicago]University of Chicago Press.
Patrick Maher (2007). Explication Defended. Studia Logica 86 (2):331 - 341.
Rudolf Carnap (1963). My Basic Conceptions of Probability and Induction, PA Schilpp Ed. In Paul Arthur Schilpp (ed.), The Philosophy of Rudolf Carnap. La Salle, Ill.,Open Court
Patrick Maher (2006). The Concept of Inductive Probability. Erkenntnis 65 (2):185 - 206.
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