Research paper proposing a heartbeat-driven autonomous thinking activity scheduling system for LLM-based AI. The approach uses biologically-inspired temporal patterns to manage and control how large language models execute autonomous reasoning tasks. Explores a novel framework for simulating human cognitive patterns in AI system behavior.
Research
Simulating Human Cognition: Heartbeat-Driven Autonomous Thinking Activity Scheduling for LLM-based AI systems
Researchers propose a biologically-inspired heartbeat scheduling system to control how LLMs execute autonomous reasoning, bridging human cognitive patterns with AI system orchestration.
Friday, April 17, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
Tags
research