Parallel Belief Revision
Artificial Intelligence
2013-04-10 v1
Abstract
This paper describes a formal system of belief revision developed by Wolfgang Spohn and shows that this system has a parallel implementation that can be derived from an influence diagram in a manner similar to that in which Bayesian networks are derived. The proof rests upon completeness results for an axiomatization of the notion of conditional independence, with the Spohn system being used as a semantics for the relation of conditional independence.
Cite
@article{arxiv.1304.2358,
title = {Parallel Belief Revision},
author = {Daniel Hunter},
journal= {arXiv preprint arXiv:1304.2358},
year = {2013}
}
Comments
Appears in Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988)