Modeling Emotion-Based Decision-Making

Contents

This paper presents a computational approach to Emotion-Based Decision-Making that models important aspects of emotional processing and integrates these with other models of perception, motivation, behavior, and motor control. A particular emphasis is placed on using some of the mechanisms of emotions as building blocks for the acquisition of emotional memories that serve as biasing signals during the process of making decisions and selecting actions. We have successfully followed this approach to develop and control several different autonomous agents, including both synthetic agents and physical robots.