Consequences of Assigning Non-Measurable Sets Imprecise Probabilities

Mind (531):793-804 (2024)
  Copy   BIBTEX

Abstract

This paper is a discussion note on Isaacs et al. (2022), who have claimed to offer a new motivation for imprecise probabilities, based on the mathematical phenomenon of non-measurability. In this note, I clarify some consequences of their proposal. In particular, I show that if their proposal is applied to a bounded 3-dimensional space, then they have to reject at least one of the following: (i) If A is at most as probable as B and B is at most as probable as C, then A is at most as probable as C. (ii) Let A ∩ C = B ∩ C = ∅. A is at most as probable as B iff (A ∪ C) is at most as probable as (B ∪ C). But rejecting either statement seems unattractive.

Other Versions

No versions found

Analytics

Added to PP
2024-03-22

Downloads
406 (#68,712)

6 months
181 (#17,862)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Joshua Thong
Singapore Management University