Agent-Based Decision Making for Integrated Air Defence Systems

14-1-5.jpg
14-1-5.jpg

Agent-Based Decision Making for Integrated Air Defence Systems

9.95

Author(s): Sumanta K. Das; Sumant Mukherjee
No pages: 8
Year: 2011
Article ID: 14-1-5
Keywords: training and analysis
Format: Electronic (PDF)
 

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