Introducing human-like hearing perception in intelligent virtual agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Retrieval, reuse, revision and retention in case-based reasoning
The Knowledge Engineering Review
Qualitative Physics for Movable Objects in MOUT
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
Quartz: an autonomous navigation system for MOUT simulations
Computer Animation and Virtual Worlds - CASA 2007
Snap: A time critical decision-making framework for MOUT simulations
Computer Animation and Virtual Worlds - CASA'2008 Special Issue
Dealing with dynamic changes in time critical decision-making for MOUT simulations
Computer Animation and Virtual Worlds - CASA' 2009 Special Issue
Synthetic adversaries for urban combat training
IAAI'04 Proceedings of the 16th conference on Innovative applications of artifical intelligence
Twilight City: a virtual environment for MOUT
International Journal of Computers and Applications
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The quality of situation awareness directly affects the decision making process for human soldiers in Military Operations on Urban Terrain (MOUT). It is important to accurately model situation awareness to generate realistic tactical behaviors for the non-player characters (also known as bots) in MOUT simulations. This is a very challenging problem due to the time constraints and the heterogeneous cue types in MOUT. Although there are some theoretical models on situation awareness, they generally do not provide computational mechanisms suitable for MOUT simulations. In this paper, we propose a computational model of situation awareness for the bots in MOUT simulations. The model forms up situation awareness quickly with key cues. It is also designed to work with some novel features. They include case-based reasoning, qualitative spatial representation and expectations. The effectiveness of the computational model is assessed with Twilight City, a virtual environment that we have built for MOUT simulations.