David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
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
Richard Jeffrey (1983). The Logic of Decision. University of Chicago Press.
Rudolf Carnap (1962). Logical Foundations of Probability. Chicago]University of Chicago Press.
Brian Skyrms (1980). Causal Necessity: A Pragmatic Investigation of the Necessity of Laws. Yale University Press.
Hans Reichenbach (1949). The Theory of Probability. Berkeley, University of California Press.
Citations of this work BETA
Carlo Martini, Jan Sprenger & Mark Colyvan (2013). Resolving Disagreement Through Mutual Respect. Erkenntnis 78 (4):881-898.
Thieu Kuys (1989). Knowledge, Criticism, and Coherence. Philosophical Studies 57 (1):41 - 60.
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