Behavioral Game

Behavioral game theory investigates how individuals and artificial agents make decisions in strategic interactions, aiming to improve the accuracy of predicting and modeling behavior in various contexts. Current research focuses on incorporating bounded rationality and emotional factors into models, often employing techniques like quantal response equilibrium and cognitive hierarchy models, as well as leveraging large language models to simulate human behavior in game-theoretic settings. This field is significant for advancing our understanding of human decision-making, improving the design of autonomous systems (e.g., self-driving cars), and enhancing the development of more robust and human-like artificial intelligence.