Abstract
As the artificial intelligence (AI) systems in military simulations
and computer games become more complex, their actions become increasingly
difficult for users to understand. Expert systems for medical diagnosis
have addressed this challenge though the addition of explanation
generation systems that explain a system’s internal processes. This
paper describes the AI architecture and associated explanation capability
used by Full Spectrum Command, a training system developed for the
U.S. Army by commercial game developers and academic researchers.
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