Considering the Difference in Utility Functions of Team Players in Adversarial Team Games

This article likely explores the complexities of designing AI agents for team-based games where players have potentially conflicting goals. It suggests an investigation into how different utility functions (representing player preferences) impact team performance and strategic decision-making in adversarial settings. The focus is on understanding and addressing the challenges of coordinating AI agents with diverse objectives within a team.