Belief Networks are powerful modeling tools for condensing what is known about causes and effects into a compact network of probabilities.
Belief Networks:
- Are more compact than rule-based systems
- Use information about past circumstances to predict what is likely to happen in the future
- Provide valuable analysis even when information is incomplete or uncertain
- Offer the ability to either predict or diagnose, depending on your analysis needs
BNet is a family of tools for building, using and embedding belief networks in your own software.
The BNet product family includes:

for rapidly creating Belief Networks, entering information, and getting results

for incorporating Belief Network Technology in your applications
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