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This panel position paper discusses advantages and challenges of multi agent fusion systems (MAS) with respect to the modeling flexibility and fusion reliability. We argue that the MAS paradigm in combination with rigorous modeling and inference methods can facilitate design of theoretically and technically sound fusion systems. This is illustrated with the help of a MAS approach to Bayesian fusion...
MacDonald Dettwiler is leading a PRECARN partnership project to develop an advanced simulation testbed for the evaluation of the effectiveness of Network Enabled Operations in a coastal large volume surveillance situation. The main focus of this testbed is to study concepts like distributed information fusion, dynamic resources and networks configuration management, and self synchronising units and...
In this paper we show that causal probabilistic models can facilitate the design of robust and flexible fusion systems. Observed events resulting from stochastic causal processes can be modeled with the help of causal Bayesian networks, mathematically rigorous and compact probabilistic causal models. Bayesian networks explicitly represent conditional independence which facilitates decentralized modeling...
DSTO Australia concluded a two year research program in March 2006 that demonstrated distributed, autonomous, self-organising stand-in sensor and effector systems. This paper describes research activities from this program including the development of miniaturised sensor and effector payloads, the development of novel algorithms for the fusion of data from distributed sensor payloads and the development...
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