Bayesian decision theory, subjective and objective probabilities, and acceptance of empirical hypotheses
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Synthese 57 (3):341 - 365 (1983)
It is argued that we need a richer version of Bayesian decision theory, admitting both subjective and objective probabilities and providing rational criteria for choice of our prior probabilities. We also need a theory of tentative acceptance of empirical hypotheses. There is a discussion of subjective and of objective probabilities and of the relationship between them, as well as a discussion of the criteria used in choosing our prior probabilities, such as the principles of indifference and of maximum entropy, and the simplicity ranking of alternative hypotheses.
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References found in this work BETA
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Citations of this work BETA
Daniel Steel (2015). Acceptance, Values, and Probability. Studies in History and Philosophy of Science Part A 53:81-88.
Michael Moehler (2015). The Rawls–Harsanyi Dispute: A Moral Point of View. Pacific Philosophical Quarterly 97 (1).
Sven Ove Hansson (2007). Values in Pure and Applied Science. Foundations of Science 12 (3):257-268.
John C. Harsanyi (1985). Acceptance of Empirical Statements: A Bayesian Theory Without Cognitive Utilities. Theory and Decision 18 (1):1-30.
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