Emotion Generation for Arti cial Agents via a Hybrid Architecture
نویسنده
چکیده
Emotion generation for an artiicial agent aspire to give computers some level of understanding about what it might be like to have aaective states. Generating states for a computer system with similar properties and/or functions to human emotion, might be one of the rst steps in building such an understanding. We propose a computational design for modeling aaect generation using a hybrid architecture which implements both the physiological and the subjective experience components associated with emotion.
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