Reasoning under uncertainty VI

Aug 16, 2024 • 1h 2m • 28 views

Reasoning under uncertainty involves making decisions or drawing conclusions when there is incomplete, ambiguous, or uncertain information. This kind of reasoning is crucial in fields like artificial intelligence, economics, psychology, and everyday decision-making. Bayesian Networks are a key tool in reasoning under uncertainty. They are a powerful graphical model used to represent and reason about uncertain knowledge, particularly when dealing with probabilistic relationships between vari