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On the Truth-Convergence of Open-Minded Bayesianism

Sterkenburg, Tom F. and De Heide, Rianne (2021) On the Truth-Convergence of Open-Minded Bayesianism. The Review of Symbolic Logic.

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Abstract

Wenmackers and Romeijn (2016) formalize ideas going back to Shimony (1970) and Putnam (1963) into an open-minded Bayesian inductive logic, that can dynamically incorporate statistical hypotheses proposed in the course of the learning process. In this paper, we show that Wenmackers and Romeijn's proposal does not preserve the classical Bayesian consistency guarantee of merger with the true hypothesis. We diagnose the problem, and offer a forward-looking open-minded Bayesians that does preserve a version of this guarantee.


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Item Type: Published Article or Volume
Creators:
CreatorsEmailORCID
Sterkenburg, Tom F.tom.sterkenburg@lmu.de0000-0002-4860-727X
De Heide, Rianner.de.heide@cwi.nl
Subjects: General Issues > Confirmation/Induction
Specific Sciences > Artificial Intelligence > Machine Learning
Specific Sciences > Probability/Statistics
Depositing User: Mr Tom Sterkenburg
Date Deposited: 10 Mar 2021 03:00
Last Modified: 10 Mar 2021 03:00
Item ID: 18786
Journal or Publication Title: The Review of Symbolic Logic
DOI or Unique Handle: 10.1017/S1755020321000022
Subjects: General Issues > Confirmation/Induction
Specific Sciences > Artificial Intelligence > Machine Learning
Specific Sciences > Probability/Statistics
Date: 2021
URI: http://philsci-archive.pitt.edu/id/eprint/18786

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