The Theory of Learning in Games

The Theory of Learning in Games examines how players develop strategies over time based on their experiences and observations. Instead of assuming everyone knows the best move instantly, it considers that players adapt by trying different actions, observing outcomes, and refining their choices. This process can lead to stable patterns, called equilibria, where players settle into strategies that no longer change because everyone is satisfied with their current options. Essentially, it explains how strategic behavior evolves in competitive situations, highlighting the importance of adaptation, experimentation, and information in decision-making.