The Sleeping Beauty problem tests whether agents should assign a 1/3 or 1/2 probability to a coin toss after memory erasure. This philosophical debate centers on how agents update beliefs when their own existence is conditional. Solving these edge cases is critical for refining AI alignment and decision-making under uncertainty.