Although neural networks indeed offer important new approaches to information processing, it is now a general trend to incorporate conventional computer methodologies for inferences and explanations in the hope of getting closer to human performance. In this study, we propose influence diagrams as a means of not only providing probabilistic inference but also reducing system complexity.
