Simulation-based Agent Support in a Synthetic Team-based C2 Task Environment

摘要

In our long-term program of research in command and control (C2) teamwork and performance, we have extensively analyzed the roles, responsibilities, and interdependencies of Airborne Warning and Control System (AWACS) Weapons Director (WD) teams, using a variety of methods. The AWACS WD team serves as a vital airborne C2 node, providing airborne surveillance and command, control, and communications functions for tactical and air defense forces. They detect, identify, track, and intercept airborne threats. Our investigations seek to identify tools and techniques to facilitate performance in this complex and dynamic domain. In this paper, we describe progress toward an agent-based decision support system, the AWACS WD Intelligent Agent Assistant (IAA). The WD-IAA will facilitate decision making for decision events which are both typical and time consuming. This paper will describe approach, methodology, and potential application areas for agent-technologies in C2 training.