Models, architectures, and data -- Mathematical preliminaries -- Approaches to handling uncertainty -- Introduction to target tracking -- Target classification and aggregation -- Model-based situation assessment -- Modeling time for situation assessment -- Handling nonlinear and hybrid models -- Decision support -- Learning of fusion models -- Towards cognitive agents for data fusion -- Distributed fusion.