Game Model

Game models are increasingly used to analyze strategic interactions in diverse domains, from cybersecurity and smart grids to understanding human behavior in games and interpreting complex machine learning models. Current research focuses on developing and applying game-theoretic frameworks, including stochastic signaling games and online learning algorithms like Conjectural Online Learning, to model these interactions and learn optimal strategies under uncertainty and computational constraints. These models offer valuable insights into decision-making processes, enabling improved security protocols, more efficient resource allocation, and enhanced interpretability of complex systems.