Group Dynamic

Group dynamics research investigates how individuals' interactions within groups shape collective behavior and outcomes, aiming to understand and model these complex processes. Current research focuses on developing computational models, including agent-based simulations, graph-enhanced reinforcement learning, and hierarchical switching-state models, to analyze group formation, information spread, and the influence of factors like language, fairness, and prejudice. These advancements have implications for improving human-robot collaboration, designing more effective teams, and understanding the dynamics of online opinion polarization and social influence.