Modeling Intelligent Decision Making Command And Control Agents: An Application to Air Defense

TL;DR

This paper develops autonomous agent-based models for tactical decision making in air defense, integrating agent technology with mathematical reasoning to enhance command and control capabilities in simulated environments.

Contribution

It introduces a novel combination of agent technology and mathematical reasoning for modeling tactical decisions in air defense C2 systems, with implementation and evaluation in simulation.

Findings

Agents successfully perform C2 tasks like threat assessment and weapon allocation.

The system operates autonomously without human intervention.

The approach advances state-of-the-art in autonomous air defense decision making.

Abstract

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.