Behavior Representation and Simulation for Military Operations on Urbanized Terrain

Authors:
Zhuoqian Shen;Suiping Zhou
Affiliations:
Parallel and Distributed Computing Center, School of Computer Engineering, Nanyang Technological University, Singapore 639798;Parallel and Distributed Computing Center, School of Computer Engineering, Nanyang Technological University, Singapore 639798
Venue:
Simulation
Year:
2006

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Abstract

Generating human-like behaviors in a virtual warfare environment is still a challenging task to date. In this article, the authors present their work on the design of an artificial intelligence (AI) framework for the bots in military operations on urbanized terrain (MOUT) simulations.Their framework is designed to be flexible, extensible, integrable, and independent of simulation platforms. For fast prototyping, the AI framework is implemented on the Unreal Tournament (UT) game engine. A case study has been conducted that shows that the framework is effective and efficient in generating realistic bot behaviors in various combat scenarios.