Intelligent command and control agent in electronic warfare settings

This paper investigates the autonomous decision-making process of threat detection, classiÞcation, and the selection of alternative countermeasures against threats in electronic warfare settings. We introduce a threat model that represents a speciÞc threat pattern and also present a methodology that compiles the threat into a set of rules using soft computing methods. This methodology, which is based upon the inductive threat model, could be used to classify real-time threats. Furthermore, we calculate the expected utilities of countermeasures that are applicable given a situation and provide an intelligent command and control agent with the best countermeasure to threats. We summarize empirical results that demonstrate the agent’s capabilities of detecting and classifying threats and selecting countermeasures to them in simulated electronic warfare settings.