Generalizing Jeffrey Conditionalization
Artificial Intelligence
2013-03-25 v1
Abstract
Jeffrey's rule has been generalized by Wagner to the case in which new evidence bounds the possible revisions of a prior probability below by a Dempsterian lower probability. Classical probability kinematics arises within this generalization as the special case in which the evidentiary focal elements of the bounding lower probability are pairwise disjoint. We discuss a twofold extension of this generalization, first allowing the lower bound to be any two-monotone capacity and then allowing the prior to be a lower envelope.
Cite
@article{arxiv.1303.5436,
title = {Generalizing Jeffrey Conditionalization},
author = {Carl G. Wagner},
journal= {arXiv preprint arXiv:1303.5436},
year = {2013}
}
Comments
Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992)