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Automated Model Discovery For Steering Behavior Simulation

Steering behavior is widely used to simulate mobile agents’ movement in virtual environments. This work presents a framework to support automated model discovery for steering behavior in simulation. A new category of entity called space entity is developed to allow agents to act on the open space surrounding them. An adaptive space entity generation method is developed to generate space entities based on an agent’s nearby open and occupied space segments. The space entity and the developed method are incorporated into a model search framework to support automated discovery of candidate models. Experiment results show that the framework can support discovering multiple steering behavior models for a given scenario. The discovered models are robust, scalable, and can be applied to environments that are different from the ones where the models are discovered.