The Core Emotion Framework (CEF): A Structural‑Constructivist Architecture for Teaching Emotion to Artificial Intelligence

The Core Emotion Framework (CEF) is a structural-constructivist model for computational affective intelligence that defines ten actionable emotional processes across Head, Heart, and Gut centers. By integrating affective neuroscience, embodied cognition, and strategic regulation, CEF reframes emotion as dynamic sequences rather than static states. This architecture supports multimodal affective computing, clinical decision support, and educational or organizational AI by enabling nuanced recognition and prescriptive regulation. Disseminated under FAIR principles with pre-registration protocols, CEF advances open science and provides a validated foundation for responsible, human-centered AI. Keywords: Core Emotion Framework, artificial intelligence, computational affective intelligence, emotion modeling, emotion regulation, multimodal affective computing, embodied cognition, structural-constructivist model, open science, FAIR principles, clinical decision support, dialectical behavior therapy, schema therapy