P. de Oude, B. Ottens, and G. Pavlin (The Netherlands)
Distributed Fusion, Bayesian Networks, Multi Agents, Heterogeneous Information
We introduce a robust approach to diagnostic information fusion within a network of probabilistic models distributed throughout a system of agents. In particular, the approach combines results from local fusion processes in a consis tent manner and it is applicable in a significant class of fusion problems. It supports sequential fusion of large amounts of heterogeneous information without centralized fusion control in distributed models which can frequently change at runtime.
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