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This model defines a hierarchical framework where emotional signals are processed in multiple stages to influence cognitive behavior. It enables adaptive reasoning by integrating affective feedback into decision-making and memory modulation. 本モデルは、感情信号を多段階で処理し、認知行動に影響を与える階層的枠組みを定義します。感情的フィードバックを意思決定や記憶調整に統合することで、適応的な推論を可能にします。

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Multistage Emotion-Cognition Model / 多段階感情-認知モデル

This model defines a layered structure where emotional states and cognitive evaluations interact across distinct stages. It enables systems to process stimuli through affective weighting, contextual appraisal, and adaptive regulation, enhancing emotional intelligence and decision-making.

本モデルは、感情状態と認知的評価が段階的に相互作用する層構造を定義します。刺激を感情的重み付け・文脈的評価・適応的調整を通じて処理し、情動知性と意思決定力を高めます。

Specialized Applications

Applicable in emotion-aware robotics, human-computer interaction systems, and psychological modeling engines requiring emotional-cognitive loop integration.

General Applications

Useful in emotional learning platforms, well-being monitoring apps, and adaptive dialogue systems supporting personalized and empathetic interaction.

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This model defines a hierarchical framework where emotional signals are processed in multiple stages to influence cognitive behavior. It enables adaptive reasoning by integrating affective feedback into decision-making and memory modulation. 本モデルは、感情信号を多段階で処理し、認知行動に影響を与える階層的枠組みを定義します。感情的フィードバックを意思決定や記憶調整に統合することで、適応的な推論を可能にします。

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