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Recent work has applied game-theoretic models to real-world security problems at the Los Angeles International Airport (LAX) and Federal Air Marshals Service (FAMS). The analysis of these domains is based on input from domain experts intended to capture the best available intelligence information about potential terrorist activities and possible security countermeasures. Nevertheless, these models are subject to significant uncertainty especially in security domains where intelligence about adversary capabilities and preferences is very difficult to gather. This uncertainty presents significant challenges for applying game-theoretic analysis in these domains.
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