Agent based decision making for Integrated Air Defense system

TL;DR

This paper introduces agent-based decision-making algorithms for an integrated air defense system, enabling autonomous detection, threat assessment, and weapon allocation in network-centric warfare scenarios.

Contribution

It presents novel BDI architecture-based agents that perform command and control tasks autonomously, advancing the state of the art in C2 system automation.

Findings

Agents operate without manual inputs

Effective threat detection and response

Autonomous weapon allocation capability

Abstract

This paper presents algorithms of decision making agents for an integrated air defense (IAD) system. The advantage of using agent based over conventional decision making system is its ability to automatically detect and track targets and if required allocate weapons to neutralize threat in an integrated mode. Such approach is particularly useful for futuristic network centric warfare. Two agents are presented here that perform the basic decisions making tasks of command and control (C2) like detection and action against jamming, threat assessment and weapons allocation, etc. The belief-desire-intension (BDI) architectures stay behind the building blocks of these agents. These agents decide their actions by meta level plan reasoning process. The proposed agent based IAD system runs without any manual inputs, and represents a state of art model for C2 autonomy.