Axel Vogler
Daimler Benz AG
Research and Technology
Intelligent Systems Group, Berlin
E-mail: vogler@dbag.bln.daimlerbenz.com
Phone: ++49 30 - 399 82 245
Fax: ++49 30 - 399 82 491
Understanding inference in probabilistic networks is an important point in the design phase. Their causal structure and locally defined parameters are intuitive to human experts. The global system induced by the local parameters can lead to results not intended by the human experts. To support network design an edge coloring scheme explaining influences between variables responsible for inference result is introduced.
Bayesian networks, explanation