Emotion-Based Memory and Decision System for Non-Humanoid AI Agents

Abstract: This study proposes an emotion-driven memory and decision-making system for non-humanoid AI agents. The system models emotional perception, memory retention, and behavioral decision-making through lightweight rule-based mechanisms. Detailed system architecture and experimental results will be updated.

Keywords: Human-Computer Interaction, Affective Computing, Memory Systems in AI, Emotion Recognition

DOI: 10.54941/ahfe1006706

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