In our increasingly complex world, predicting the outcomes of dynamic systems—whether it’s weather patterns, financial markets, or even the chaotic motion of a group of chickens—relies heavily on understanding and managing uncertainty. Modern science and engineering employ sophisticated modeling and simulation techniques to forecast potential results, embracing the inherent unpredictability of real-world phenomena. This article...Read More