BLOG: Probabilistic Models with Unknown Objects
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1352-1358.
Abstract
This paper introduces and illustrates BLOG, a formal language for defining probability models over worlds with unknown objects and identity uncertainty. BLOG unifies and extends several existing approaches. Subject to certain acyclicity constraints, every BLOG model specifies a unique probability distribution over first-order model structures that can contain varying and unbounded numbers of objects. Furthermore, complete inference algorithms exist for a large fragment of the language. We also introduce a probabilistic form of Skolemization for handling evidence.
@inproceedings{ijcai2005p203,
title = {BLOG: Probabilistic Models with Unknown Objects},
author = {Milch, Brian and Marthi, Bhaskara and Russell, Stuart J. and Sontag, David A. and Ong, Daniel L. and Kolobov, Andrey},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1352--1358},
year = {2005},
url = {https://ijcai.org/proceedings/2005/203},
}
TY - CPAPER TI - BLOG: Probabilistic Models with Unknown Objects AU - Milch, Brian AU - Marthi, Bhaskara AU - Russell, Stuart J. AU - Sontag, David A. AU - Ong, Daniel L. AU - Kolobov, Andrey T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1352 EP - 1358 UR - https://ijcai.org/proceedings/2005/203 ER -Copied
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