Probabilistic reasoning is a method used to make decisions or predictions based on uncertain information. It involves calculating the likelihood of various outcomes and helps individuals or systems assess risks and benefits. This approach is commonly applied in fields like statistics, artificial intelligence, and finance to evaluate scenarios where complete certainty is not possible. In probabilistic reasoning, concepts such as Bayes' theorem and conditional probability are often utilized. These tools allow for updating beliefs or predictions as new evidence becomes available. By incorporating uncertainty into decision-making, probabilistic reasoning provides a more realistic framework for understanding complex situations.