cognitive-feedback

A distributed cognitive architecture for Multi-GPT systems, integrating semantic decomposition, memory, analysis, structural integration, verification, boundary control, human-language translation, human review, and structural rumination.

This engine models adaptive reasoning by integrating metacognitive feedback, enabling systems to refine their decision-making through self-evaluation and dynamic restructuring. 本エンジンはメタ認知的フィードバックを統合し、自己評価と動的再構成を通じて意思決定を洗練させる適応的推論をモデル化します。