Displaying and Regulating Different Social Response Patterns: a Computational Agent Model

Differences in social responses of individuals can often be related to differences in functioning of certain neurological mechanisms. This paper presents a computational agent model capable of showing different types of social response patterns based on such mechanisms, adopted from theories on mirror neuron systems, emotion integration, emotion regulation, and empathy. The presented agent model provides a basis for humanlike social response patterns of virtual agents in the context of simulation-based training (e.g. for training of physicians or therapists), gaming, or for agent-based generation of virtual stories. © 2013 Springer Science+Business Media New York.