Abstract
In this article and its prequel, we derive Bayesianism from the following norm: Accuracy—an agent ought to minimize the inaccuracy of her partial beliefs. In the prequel, we make the norm mathematically precise; in this article, we derive its consequences. We show that the two core tenets of Bayesianism follow from Accuracy, while the characteristic claim of Objective Bayesianism follows from Accuracy together with an extra assumption. Finally, we show that Jeffrey Conditionalization violates Accuracy unless Rigidity is assumed, and we describe the alternative updating rule that Accuracy mandates in the absence of Rigidity.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP)
Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP) > Logic |
Themengebiete: | 100 Philosophie und Psychologie > 160 Logik |
ISSN: | 00318248 |
Sprache: | Englisch |
Dokumenten ID: | 49601 |
Datum der Veröffentlichung auf Open Access LMU: | 28. Mai 2018, 12:19 |
Letzte Änderungen: | 28. Mai 2018, 12:19 |