A probabilistic algorithm is a type of algorithm that makes decisions based on random inputs or probabilities. Instead of providing a guaranteed outcome, these algorithms offer a solution that is correct with a certain probability. They are often used in situations where an exact solution is difficult or impossible to compute efficiently, such as in large data sets or complex problems. These algorithms can be particularly useful in fields like computer science, cryptography, and machine learning. For example, a probabilistic algorithm might be used to quickly estimate the best route in a navigation system, providing a good enough solution in a fraction of the time it would take to find the perfect one.