Agent script generation using descriptive text documents

Abstract

When designing games, artists exert large efforts to create visually compelling scenes. Work such as WordsEye [Coyne and Sproat 2001] can assist artists by parsing natural language texts into static scenes. Complementary to this endeavour is the population of that environment by simulation authors. Adding agents to an environment with plausible behaviors is a time consuming process, as most require individual scripts to control their behavior. This generally degrades variability, as scripts are re-used. In order to assist in creating commands and scenes for virtual actors, we propose a method that can create scripts for agents to plausibly act within a virtual environment. This work is inspired by [Ma 2006], which provides an action to a virtual agent from a single sentence. However, our method works for several agents over longer periods of time.