Abstract
The objective of this study was to identify and model the comprehension and decision making of law enforcement personnel with respect to terrorism-centric behaviors. In this study, 44 participants provided 1,496 judgments ranked on an 11-point Likert-type suspicion scale about individual text-based scenario components emulating real-world events encountered during routine policing. The data were analyzed to assess the influence of jurisdiction, training, experience, and terrorism familiarity on the recognition of terrorism-centric behaviors. Measurements of those factors were used to formulate a Bayesian network, and Monte Carlo simulation was performed to estimate their effect on terrorism-centric cognitive judgment and decision making, defined by the response to a wide variety of simulated terrorism-centric behaviors using text-based scenarios.
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