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Predictive Emotional Selfhood in Artificial Minds: Toward Emotion-Cognition Integrated AI

Year: 2025

Type: article

Abstract: This paper proposes PESAM (Predictive Emotional Selfhood in Artificial Minds), a novel AI framework integrating predictive processing, emotional simulation, and dynamic self-modeling. By combining neuroscientific theories such as the somatic marker hypothesis and active inference, PESAM aims to create artificial agents capable of emotion-cognition integration and embodied selfhood, offering implications for artificial general intelligence and human–AI interaction.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15318668

Author: KIM, RYAN SB

Institution: Centre National de la Recherche Scientifique

Language: English

Topic: Embodied and Extended Cognition

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6930783607

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