Languages and Designs for Probability Judgment

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Cognitive Science 9 (3):309-339 (1985)
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Abstract

Theories of subjective probability are viewed as formal languages for analyzing evidence and expressing degrees of belief. This article focuses on two probability langauges, the Bayesian language and the language of belief functions (Shafer, 1976). We describe and compare the semantics (i.e., the meaning of the scale) and the syntax (i.e., the formal calculus) of these languages. We also investigate some of the designs for probability judgment afforded by the two languages.

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10.1207/s15516709cog0903_2

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Citations of this work

Being Realist about Bayes, and the Predictive Processing Theory of Mind.Matteo Colombo, Lee Elkin & Stephan Hartmann - 2021 - British Journal for the Philosophy of Science 72 (1):185-220.
Bayesian Cognitive Science, Monopoly, and Neglected Frameworks.Matteo Colombo & Stephan Hartmann - 2015 - British Journal for the Philosophy of Science 68 (2):451–484.
Pragmatic infallibilism.Brian Kim - 2023 - Asian Journal of Philosophy 2 (2):1-22.

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References found in this work

The Foundations of Statistics.Leonard Savage - 1954 - Wiley Publications in Statistics.
The Logic of Decision.Richard C. Jeffrey - 1965 - New York, NY, USA: University of Chicago Press.
The Foundations of Mathematics and Other Logical Essays.Frank Plumpton Ramsey - 1925 - London, England: Routledge & Kegan Paul. Edited by R. B. Braithwaite.
Truth and probability.Frank Ramsey - 2011 - In Antony Eagle, Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 52-94.

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