Modeling Intelligent Decision Making Command And Control Agents: An Application to Air Defense
This addresses the problem of autonomous decision-making in network-centric warfare for military applications, though it appears incremental by combining existing agent technology with mathematical reasoning.
The paper tackles tactical decision-making in air defense command and control by developing autonomous agents that perform tasks like threat assessment and weapon allocation in a simulated environment, achieving a state-of-the-art model that operates without human intervention.
The paper is a half-way between the agent technology and the mathematical reasoning to model tactical decision making tasks. These models are applied to air defense (AD) domain for command and control (C2). It also addresses the issues related to evaluation of agents. The agents are designed and implemented using the agent-programming paradigm. The agents are deployed in an air combat simulated environment for performing the tasks of C2 like electronic counter counter measures, threat assessment, and weapon allocation. The simulated AD system runs without any human intervention, and represents state-of-the-art model for C2 autonomy. The use of agents as autonomous decision making entities is particularly useful in view of futuristic network centric warfare.