P. Norvig

Lecture on Stochastic Simulation Methods for Probabilistic Inference (2008)

S. Russell, P. Norvig

Technique for approximate inference in Bayesian networks • Run repeated simulations of the world described by the network • Estimate the probabilities we are interested in by counting the...

Example 2: Aircraft Tracking Outline False Detection Unobserved Object • BLOG models with unknown objects – Syntax – Semantics (2007)

Brian Milch, S. Russel, P. Norvig, Artificial Intelligence, A Modern

• Fundamental task: given observations, make inferences about initially unknown objects • But most RPM languages assume set of objects is fixed and known (Herbrand models) • Bayesian logic...