Reasoning under uncertainty part III

Aug 11, 2024 • 1h 1m • 20 views

Reasoning under uncertainty refers to the process of making decisions or drawing conclusions in situations where the information available is incomplete, ambiguous, or uncertain. Probabilistic Reasoning: This involves using probability theory to handle uncertainty. Bayesian networks are examples of probabilistic models that help in reasoning about uncertain information