Game Scenario

Game scenarios are increasingly used as complex testbeds for evaluating and developing artificial intelligence, particularly in assessing social intelligence and multi-agent cooperation. Current research focuses on designing diverse and controllable game environments, employing metrics to quantify player performance and pressure, and leveraging these scenarios to analyze the capabilities of large language models and reinforcement learning agents. This work is significant for advancing AI research by providing standardized benchmarks and insightful evaluation tools, ultimately contributing to a deeper understanding of AI capabilities and limitations in complex interactive settings.