The article presents a new way to analyze random walks that depend on their past movements. This method can be applied to various models like reinforced random walk and loop-erased random walk. The researchers found formulas to calculate the speed and variance of these random walks. They also discovered patterns in the speed of excited random walk in high dimensions and other related models. Additionally, they were able to predict the average behavior and distribution of these random walks with specific conditions.