A Connexionist Model for Emotions in Digital Agents

This paper introduces a bio-inspired model of affects for digital agents. This model provides three distinct layers: emotions as short-term affect, moods as medium-term affect, and personality as a long-term affect. It describes an implementation based on a connexionist architecture using a dedicated neural network designed for the “Living Mona Lisa” research project.