Coherence, Belief Expansion and Bayesian Networks
Artificial Intelligence
2007-05-23 v1 Logic in Computer Science
Abstract
We construct a probabilistic coherence measure for information sets which determines a partial coherence ordering. This measure is applied in constructing a criterion for expanding our beliefs in the face of new information. A number of idealizations are being made which can be relaxed by an appeal to Bayesian Networks.
Cite
@article{arxiv.cs/0003041,
title = {Coherence, Belief Expansion and Bayesian Networks},
author = {Luc Bovens and Stephan Hartmann},
journal= {arXiv preprint arXiv:cs/0003041},
year = {2007}
}
Comments
6 pages, 2 figures, paper presented at the 8th Intl. Workshop on Non-Monotonic Reasoning NMR'2000 (April 9-11), Breckenridge, Colorado