Local Bayesian fusion realized via an agent based architecture
In the field of reconnaissance and in many other real world applications, information from different possibly heterogenous information sources has to be fused for obtaining adequate results. We present a local Bayesian approach which is realized via an agent based architecture. In analogy to criminalistic investigators, fusion agents elaborate the posterior Degree of Belief of initial hypotheses by local Bayesian modelling and local Bayesian fusion. Thereby, the usually high computational complexity of the Bayesian methodology gets reduced significantly.
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