Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning.

ABSTRACT: The ability to conceptualize and understand one's own affective states and responses - or "Emotional awareness" (EA) - is reduced in multiple psychiatric populations; it is also positively correlated with a range of adaptive cognitive and emotional traits. While a growing body of work has investigated the neurocognitive basis of EA, the neurocomputational processes underlying this ability have received limited attention. Here, we present a formal Active Inference (AI) model of emotion conceptualization that can simulate the neurocomputational (Bayesian) processes associated with learning about emotion concepts and inferring the emotions one is feeling in a given moment. We validate the model and inherent constructs by showing (i) it can successfully acquire a repertoire of emotion concepts

SUBMITTER: Smith R 

PROVIDER: S-EPMC6931387 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature