self-regulation

Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems

This paper introduces Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM agents, aiming to overcome rigid and reactive control flows. The system enables proactive, adaptive, and continuous self-regulation by dynamically orchestrating cognitive modules, mirroring the rhythm of human cognition.