Abstract
This paper investigates the question of how subjective probability should relate to binary belief. We propose new distance minimization methods, and develop epistemic decision-theoretic accounts. Both approaches can be shown to get “close” to the truth: the first one by getting “close” to a given probability, and the second by getting expectedly “close” to the truth. More specifically, we study distance minimization with a refined notion of Bregman divergence and expected utility maximization with strict proper scores. Our main results reveal that the two ways to get “close” to the truth can coincide.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Philosophie, Wissenschaftstheorie und Religionswissenschaft > Munich Center for Mathematical Philosophy (MCMP) |
Themengebiete: | 100 Philosophie und Psychologie > 100 Philosophie
500 Naturwissenschaften und Mathematik > 510 Mathematik |
URN: | urn:nbn:de:bvb:19-epub-122100-8 |
ISSN: | 0031-8248 |
Sprache: | Englisch |
Dokumenten ID: | 122100 |
Datum der Veröffentlichung auf Open Access LMU: | 05. Nov. 2024 08:58 |
Letzte Änderungen: | 05. Nov. 2024 08:58 |