Abstract
Merging of opinions results underwrite Bayesian rejoinders to complaints about the subjective nature of personal probability. Such results establish that sufficiently similar priors achieve consensus in the long run when fed the same increasing stream of evidence. Here, we establish a merging result for sets of probability measures updated by Jeffrey conditioning. This generalizes a number of different merging results in the literature. We also show that such sets converge to a shared, maximally informed opinion. Finally, we demonstrate the philosophical significance of our study by detailing applications to the topics of dynamic coherence, imprecise probabilities, and opinion pooling.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Philosophie, Wissenschaftstheorie und Religionswissenschaft |
Themengebiete: | 100 Philosophie und Psychologie > 100 Philosophie |
ISSN: | 0031-8248 |
Sprache: | Englisch |
Dokumenten ID: | 81789 |
Datum der Veröffentlichung auf Open Access LMU: | 15. Dez. 2021, 14:59 |
Letzte Änderungen: | 15. Dez. 2021, 14:59 |