computational models of emotion

Computational models of emotion are computer-based frameworks that simulate how humans experience and respond to emotions. They use algorithms and data to understand, predict, and sometimes generate emotional reactions, enabling machines to interpret human feelings or exhibit emotional behavior. These models analyze patterns in language, facial expressions, or physiological signals to mimic emotional processes, helping in applications like mental health, human-computer interaction, and robotics. Essentially, they aim to replicate aspects of emotional understanding and expression through computational methods, improving machines' ability to interact naturally with people.