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BLOG: Probabilistic Models with Unknown Objects Milch, Brian Marthi, Bhaskara Russell, Stuart Sontag, David Ong, Daniel L. Kolobov, Andrey Knowledge representation probability first-order logic identity uncertainty unknown objects We introduce BLOG, a formal language for defining probability models with unknown objects and identity uncertainty. A BLOG model describes a generative process in which some steps add objects to the world, and others determine attributes and relations on these objects. Subject to certain acyclicity constraints, a BLOG model specifies a unique probability distribution over first-order model structures that can contain varying and unbounded numbers of objects. Furthermore, inference algorithms exist for a large class of BLOG models. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Brian Milch and Bhaskara Marthi and Stuart Russell and David Sontag and Daniel L. Ong and Andrey Kolobov 2006 Is Part Of Dagstuhl Seminar Proceedings, Volume 5051, Probabilistic, Logical and Relational Learning - Towards a Synthesis (2006) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.05051.4 urn:nbn:de:0030-drops-4169 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05051.4 eng https://creativecommons.org/licenses/by/4.0/legalcode