David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Synthese 57 (3):283 - 295 (1983)
Weighted averaging is a method for aggregating the totality of information, both regimented and unregimented, possessed by an individual or group of individuals. The application of such a method may be warranted by a theorem of the calculus of probability, simple conditionalization, or Jeffrey's formula for probability kinematics, all of which average in terms of the prior probability of evidence statements. Weighted averaging may, however, be applied as a method of rational aggregation of the probabilities of diverse perspectives or persons in cases in which the weights cannot be articulated as the prior probabilities of statements of evidence. The method is justified by Wagner's Theorem exhibiting that any method satisfying the conditions of the Irrelevance of Alternatives and Zero Unanimity must, when applied to three or more alternatives, be weighted averaging.
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References found in this work BETA
Rudolf Carnap (1962). Logical Foundations of Probability. Chicago]University of Chicago Press.
Jaakko Hintikka (1967). Aspects of Inductive Logic. Amsterdam, North Holland Pub. Co..
Richard Jeffrey (1983). The Logic of Decision. University of Chicago Press.
Keith Lehrer (1976). When Rational Disagreement is Impossible. Noûs 10 (3):327-332.
Citations of this work BETA
Thieu Kuys (1989). Knowledge, Criticism, and Coherence. Philosophical Studies 57 (1):41 - 60.
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