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 | |||||||||
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| Subjects: | General Issues > Confirmation/Induction Specific Sciences > Artificial Intelligence > Machine Learning Specific Sciences > Probability/Statistics |
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| 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 |
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| Date: | 2021 | |||||||||
| URI: | https://philsci-archive.pitt.edu/id/eprint/18786 |
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