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This paper presents algorithms of decision making agents for an integratedair defense (IAD) system. The advantage of using agent based over conventionaldecision making system is its ability to automatically detect and track targetsand 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 ofcommand and control (C2) like detection and action against jamming, threatassessment and weapons allocation, etc. The belief-desire-intension (BDI)architectures stay behind the building blocks of these agents. These agentsdecide their actions by meta level plan reasoning process. The proposed agentbased IAD system runs without any manual inputs, and represents a state of artmodel for C2 autonomy.

Agent based decision making for Integrated Air Defense system