Probabilistic reasoning involves making inferences and decisions under uncertainty by using the principles of probability theory. It allows for modeling and reasoning about real-world situations where information is incomplete or uncertain, enhancing decision-making processes in fields like artificial intelligence, statistics, and cognitive science.