Demonstrates the systems for real-time interpretation of scenario events and narrative summarization.
“DataMono” characters built by using bootstrappable data components for entities.
Demonstrate various ICT S&T research lines in a well-known format with very specific pass/fail parameters and training objectives.
Track the movement of individual agents and groups as they move in and out of defined polygonal regions.
Demonstrates how to control simulation time speed and unit movement speed.
This example scene shows how to create an interactive tour around a terrain using scenario events and custom AI behaviors.
Configure a scalability test with generic in-game agents in real-time and record performance data locally and in the cloud for later analysis.
Navigate terrain maps with “drivable” vehicles through basic keyboard or gamepad input. Cycle multiple camera angles in and around the vehicle for observation of variables in the environment that affect physics of the vehicles. An overlay displays vehicle motion statistics in real-time.
Save agents and/or groups for later retrieval, allowing them to be loaded into the scene via custom menus.
Demonstrates autonomous agents using behavior trees (BT) in order to make decisions about patrolling and attacking.