Bayesian Logic (BLOG) is a probabilistic modeling language. It is designed for representing relations and uncertainties among real world objects. For instance, tracking multiple targets in a video. BLOG makes it easy and concise to represet - uncertainty about the existence (and the number) of underlying objects - uncertain relations among objects - dependencies among relations and functions - observed evidence
BLOG also provides a query language to ask questions about what the world could possibly be after making observations.
BLOG also refers to the default inference system for models specified in BLOG language.
Funding for BLOG has been provided by the Defense Advanced Research Projects Agency.
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News: check BLOG's new backend engine, the Swift compiler!