Information Fusion with Distributed Probabilistic Networks

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.

Important Links:

Go Back