Reasoning under uncertainty IV

Aug 12, 2024 • 1h • 54 views

Reasoning under uncertainty is a key concept in fields like artificial intelligence, decision theory, and cognitive science. It involves making decisions or inferences when the available information is incomplete, ambiguous, or uncertain. Probability Theory: This is used to model and quantify uncertainty. Probability distributions represent the likelihood of various outcomes, and Bayesian inference is a method used to update probabilities based on new evidence.