Layered Intelligence for Agent-based Crowd Simulation
Computing Sciences and Computer Engineering
We adapt a scalable layered intelligence technique from the game industry, for agent-based crowd simulation. We extend this approach for planned movements, pursuance of assignable goals, and avoidance of dynamically introduced obstacles/threats as well as congestions, while keeping the system scalable with the number of agents. We demonstrate the various behaviors in hall-evacuation scenarios, and experimentally establish the scalability of the frame rates with increasing numbers of agents.
Simulation-Transactions of the Society for Modeling and Simulation International
(2009). Layered Intelligence for Agent-based Crowd Simulation. Simulation-Transactions of the Society for Modeling and Simulation International, 85(10), 621-633.
Available at: https://aquila.usm.edu/fac_pubs/1291