Implementation of battlespace agents for network-centric electronic warfare

In the Network-Centric Warfare (NCW) paradigm, battlespace agents autonomously perform selected tasks delegated by actors/shooters and decision-makers including controlling sensors. Network-Centric electronic warfare (NCEW) is the form of electronic combat used in NCW. Focus is placed on a network of interconnected, adapting systems that are capable of making choices about how to survive and achieve their design goals in a dynamic environment. The battlespace entities: agents, actor/shooters, sensors, and decision-makers' are tied together through the information and sensor grids. The grids carry a flood of data and information among the entities that can be used to increase the tempo of operations. This flood will overwhelm human actors and decision-makers. To avoid this, it will be necessary to take advantage of developments in artificial intelligence (AI) and complexity theory in the form of complex adaptive systems (CAS). AI will allow autonomous sensor control, data collection, and data interpretation. The information grid itself may be controlled by battlespace agents that rely on AI to perform their functions. These agents can be used in hostile environments that require rapid reaction-response loops where it would be dangerous to send a human actor or decision-maker. Collectively these battlespace entities form a CAS which is composed of many adaptive autonomous agents coexisting in the battlespace and competing or cooperating to achieve their goals.