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Local Bayesian fusion realized via an agent based architecture

Konferenzbeitrag

Links:
Autoren:

Jennifer Sander
Jürgen Beyerer

Quelle:

37. Jahrestagung der Gesellschaft für Informatik e.V. (GI): INFORMATIK 2007 - Informatik trifft Logistik, Bd. 2, 2007.

Seiten:

95-99

Konferenz:

Workshop Sensor Data Fusion, 37. Jahrestagung der Gesellschaft für Informatik e.V. (GI), Bremen, 24.-27. September 2007



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.