Stochastic simulation is a computational methodology employed to model and analyze systems exhibiting inherent randomness or uncertainty. It involves generating random inputs and executing the model repeatedly to estimate statistical properties of the system's behavior over time, providing crucial insights into complex phenomena where analytical solutions are intractable.