Deep Reasoning in General Purpose Agents via Structured Meta-Cognition
Deep Reasoning introduces an inference-time method for building task-specific reasoning structures by using structured meta-reasoning. It uses a formal language to decompose complex tasks into associative, formal, and recursive steps. This allows general agents to adapt their approach just before execution, leading to superior performance in complex tasks like multi-hop reasoning.