“Researchers investigate whether metacognition, self-prediction, and subjective duration truly benefit reinforcement learning agents in continuous-time multi-timescale environments. Their findings provide empirical evidence on which self-monitoring capabilities meaningfully enhance agent decision-making in predator-prey survival tasks, informing better architectural choices for advanced AI systems.”