PhilSci Archive

Accuracy, conditionalization, and probabilism

Lewis, Peter J. and Fallis, Don (2016) Accuracy, conditionalization, and probabilism. In: UNSPECIFIED.

WarningThere is a more recent version of this item available.

Download (247kB) | Preview


Accuracy-based arguments for conditionalization and probabilism appear to have a significant advantage over their Dutch Book rivals. They rely only on the plausible epistemic norm that one should try to decrease the inaccuracy of one's beliefs. Furthermore, it seems that conditionalization and probabilism follow from a wide range of measures of inaccuracy. However, we argue that among the measures in the literature, there are some from which one can prove conditionalization, others from which one can prove probabilism, and none from which one can prove both. Hence at present, the accuracy-based approach cannot underwrite both conditionalization and probabilism.

Export/Citation: EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
Social Networking:
Share |

Item Type: Conference or Workshop Item (UNSPECIFIED)
Lewis, Peter
Keywords: Accuracy, probabilism, conditionalization, epistemic utility
Subjects: General Issues > Decision Theory
Depositing User: Peter J. Lewis
Date Deposited: 26 Oct 2016 12:58
Last Modified: 26 Oct 2016 12:58
Item ID: 12517
Subjects: General Issues > Decision Theory
Date: 3 March 2016

Available Versions of this Item

Monthly Views for the past 3 years

Monthly Downloads for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item