AI RESEARCH
Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
arXiv CS.AI
•
ArXi:2605.11388v1 Announce Type: cross Humans intuitively solve complex problems by flexibly shifting among reasoning modes: they plan, execute, revise intermediate goals, resolve ambiguity through associative judgment, and apply formal procedures to well-specified subproblems. Current LLM agents lack this flexibility, as their scaffolds hard-code such reasoning decisions in advance. These scaffolds are effective when their prescribed structure matches the task, but brittle when solving the task requires adapting the structure of reasoning itself. We.