Imaginary Kinematics
Artificial Intelligence
2018-08-02 v1 Logic in Computer Science
Abstract
We introduce a novel class of adjustment rules for a collection of beliefs. This is an extension of Lewis' imaging to absorb probabilistic evidence in generalized settings. Unlike standard tools for belief revision, our proposal may be used when information is inconsistent with an agent's belief base. We show that the functionals we introduce are based on the imaginary counterpart of probability kinematics for standard belief revision, and prove that, under certain conditions, all standard postulates for belief revision are satisfied.
Keywords
Cite
@article{arxiv.1808.00329,
title = {Imaginary Kinematics},
author = {Sabina Marchetti and Alessandro Antonucci},
journal= {arXiv preprint arXiv:1808.00329},
year = {2018}
}