Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
GameBots: a flexible test bed for multiagent team research
Communications of the ACM - Internet abuse in the workplace and Game engines in scientific research
The unreal editor as a Web 3D authoring environment
Proceedings of the ninth international conference on 3D Web technology
Alternative reality: a new platform for virtual reality art
Proceedings of the ACM symposium on Virtual reality software and technology
Generating situation awareness for time critical decision making
Transactions on computational science XII
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We describe our work on Twilight City, a virtual training environment for Military Operations on Urbanized Terrain (MOUT). MOUT are often characterized by building-to-building, room-to-room, and person-to-person close combat, therefore the virtual training environment for MOUT requires high fidelity in 3D graphics and realistic behaviors of various objects. Twilight City is constructed on a commercial multi-player first-person shooter (FPS) game engine, the Unreal Tournament (UT). Various modifications to the UT game engine have been made to incorporate various aspects in real MOUT scenarios. Case studies show that the AI bots are able to demonstrate some human-like tactical behavior. Human factor tests are conducted to evaluate the performance of Twilight City. The results demonstrate the effectiveness of Twilight City as an urban warfare simulation environment. The lessons learned from these experiments are also discussed which provide directions for future improvement.