  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.
