The Sleeping Beauty problem tests whether a subject should believe a coin toss was heads with 1/3 or 1/2 probability. This philosophical debate centers on how agents update beliefs under uncertainty. Solving these logical paradoxes helps AI safety researchers refine how models handle self-locating information and probabilistic reasoning in complex environments.