Bayesian networks enable AI to handle uncertainty by modeling probabilities and updating beliefs based on evidence, crucial for developers dealing with noisy or incomplete data. This approach enhances decision-making in complex systems like medical diagnosis and autonomous vehicles, offering a more flexible and interpretable alternative to rule-based models.
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