Abstract
This paper introduces a generic decision model that connects three basic components in the response decision process: the stochastic information flow consisting of help requests and resource availabilities; situation awareness based on a spatiotemporal risk picture and response decisions allocating resources for response actions. The formalism utilised is the stochastic marked point process. The paper is written to support 'black-box' modelling of situation awareness in virtual training simulation, where a trainee's performance is compared with, e.g., the performance of experienced commanders with respect to key performance indicators (KPIs) obtained from such simulations. The paper also briefly discusses the use of the introduced decision model in developing agent-based models and simulations. It is also noted that the decision model encompasses the recognition-primed decision (RPD) model of naturalistic decision-making.
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