A Synthetic Mind Model for Virtual Actors in Interactive Storytelling Systems

Abstract

Interactive Storytelling (IS) is a growing research area that has attracted a large number of researchers in recent years. However, there are few works exploring the perspective of creating IS systems that conduct emergent stories using autonomous intelligent agents as virtual actors. In this paper, we propose a model of a synthetic mind for virtual actors that can make them interpret a role of a given character in a specific narrative. We discuss the model architecture, implement a prototype, and present some proof-of-concept experiments to show its effectiveness.