Probability Maximization is a strategy used in decision-making processes where the goal is to choose actions that maximize the likelihood of achieving a desired outcome. This approach is commonly applied in fields like machine learning, economics, and game theory, where decisions are made under uncertainty and probabilistic models are used to predict outcomes.