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知識の冗長を抑え、意味構造を保ったまま情報を圧縮する構成的手法を提案します。 学習モデル、AI応答、教育設計などでの知識再構成と最適化に有用です。 A constructive theory for compressing knowledge while preserving semantic structure. Applicable to learning models, AI responses