Skip to main content
eScholarship
Open Access Publications from the University of California

Logics of Imprecise Comparative Probability

  • Author(s): Ding, Yifeng;
  • Holliday, Wesley Halcrow;
  • Icard, Thomas Frederick, III
  • et al.
Creative Commons 'BY-NC-ND' version 4.0 license
Abstract

This paper studies connections between two alternatives to the standard probability calculus for representing and reasoning about uncertainty: imprecise probability andcomparative probability. The goal is to identify complete logics for reasoning about uncertainty in a comparative probabilistic language whose semantics is given in terms of imprecise probability. Comparative probability operators are interpreted as quantifying over a set of probability measures. Modal and dynamic operators are added for reasoning about epistemic possibility and updating sets of probability measures.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View