Probability functions, belief functions and infinite regresses

Synthese 199 (1-2):3045-3059 (2020)
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Abstract

In a recent paper Ronald Meester and Timber Kerkvliet argue by example that infinite epistemic regresses have different solutions depending on whether they are analyzed with probability functions or with belief functions. Meester and Kerkvliet give two examples, each of which aims to show that an analysis based on belief functions yields a different numerical outcome for the agent’s degree of rational belief than one based on probability functions. In the present paper we however show that the outcomes are the same. The only way in which probability functions and belief functions can yield different solutions for the agent’s degree of belief is if they are applied to different examples, i.e. to different situations in which the agent finds himself.

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Jeanne Peijnenburg
University of Groningen

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References found in this work

The structure of empirical knowledge.Laurence BonJour - 1985 - Cambridge: Harvard University Press.
A Mathematical Theory of Evidence.Glenn Shafer - 1976 - Princeton University Press.
Mind and the World-Order.C. I. LEWIS - 1956 - Les Etudes Philosophiques 12 (2):257-258.

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