Definition #
AI systems modeling cause-effect relationships with uncertainty quantification.
Key Characteristics #
- Conditional probability tables
- Evidence propagation
- Sensitivity analysis
- Multi-hypothesis testing
Why It Matters #
Improves diagnostic accuracy by 35% in healthcare applications (Nature).
Common Use Cases #
- Medical diagnosis support
- Financial risk assessment
- Equipment failure prediction
Examples #
- BayesiaLab
- Hugin Expert
- Netica
FAQs #
Q: Data requirements?
A: Works with small datasets (100+ samples) through expert knowledge integration.
Q: Real-time capabilities?
A: Handles 1000+ variables with sub-second inference.