Geospatial Exoskeletons for Automata in Agent - Based Models

In this paper, I introduce a new approach to agent-based modeling in geospatial contexts. The novelty of the approach stems from introducing geospatial functionality as an exoskeletal wrapper around standard socio-communicative and goal-oriented agent-based AI. Operationally, I also introduce an integrated and symbiotic tight-coupling to motion capture and Geographic Information Systems, based on space-time Geographic Information Science. To prove the usefulness of the approach in simulation, I describe application of the model to a relatively well-understood (yet widely misrepresented) scenario involving crowd evacuation in constrained infrastructure.