Coupling agent motivations and spatial behaviors for authoring multiagent narratives

Authoring behavior narratives for heterogeneous multiagent virtual humans engaged in collaborative, localized, and task-based behaviors can be challenging. Traditional behavior authoring frameworks are either space-centric, where occupancy parameters are specified; behavior-centric, where multiagent behaviors are defined; or agent-centric, where desires and intentions drive agents' behavior. In this paper, we propose to integrate these approaches into a unique framework to author behavior narratives that progressively satisfy time-varying building-level occupancy specifications, room-level behavior distributions, and agent-level motivations using a prioritized resource allocation system. This approach can generate progressively more complex and plausible narratives that satisfy spatial, behavioral, and social constraints. Possible applications of this system involve computer gaming and decision-making in engineering and architectural design.