On the Revision of Probabilistic Beliefs using Uncertain Evidence
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 99-104.
Abstract
We revisit the problem of revising probabilistic beliefs using uncertain evidence, and report results on four major issues relating to this problem: How to specify uncertain evidence? How to revise a distribution? Should, and do, iterated belief revisions commute? And how to provide guarantees on the amount of belief change induced by a revision? Our discussion is focused on two main methods for probabilistic revision: Jeffrey's rule of probability kinematics and Pearl's method of virtual evidence, where we analyze and unify these methods from the perspective of the questions posed above.
@inproceedings{ijcai2003p14,
title = {On the Revision of Probabilistic Beliefs using Uncertain Evidence},
author = {Chan, Hei and Darwiche, Adnan},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {99--104},
year = {2003},
url = {https://ijcai.org/proceedings/2003/14},
}
TY - CPAPER TI - On the Revision of Probabilistic Beliefs using Uncertain Evidence AU - Chan, Hei AU - Darwiche, Adnan T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 99 EP - 104 UR - https://ijcai.org/proceedings/2003/14 ER -Copied
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