A Spatial Awareness Framework for Enhancing Game Agent Behaviour
We describe a framework for providing game agents with awareness of the intrinsic spatial qualities of the virtual worlds that they inhabit. We develop a novel data structure based on a modified medial axis, which establishes a mapping between the medial axis and world structures. This data structure can be used to perform queries about the width, curvature and connectivity of a space within a virtual world. Additional information, such as sampled visibility can also be integrated with this framework. An agent-based crowd simulation is adapted to make use of the sensory information provided by this data structure and the success of using this information within two game scenarios is evaluated.