Simulation for Development and Assessment of Cyber Battlespace Intelligent Agents

he battlespace is increasingly dynamic. The volume of information available to all decision-makers is increasing. The uncertainties about the battlespace, whether due to cyber attack, miscommunication, mechanical fault, or other problems, prevents rapid, effective, informed decision-making. Clearly, the mere application of so-called “big data” technologies cannot address the scope of the coming problems. In an environment with great uncertainty and large amounts of data, autonomous intelligent agents on the battlefield can provide the planner with an invaluable aid for observing, planning, integrating, and interpreting to achieve mission goals. However, current intelligent systems cannot provide the required decision-making or uncertainty reduction support. The state of the art for automated intelligent behavior relies heavily on the use of predefined scripts, which prevents both adaptability in the intelligent agent response and support for human intent. The prerequisite for successfully creating autonomous intelligent battlefield agents are machine learning, user intent, prediction of actions, and emergent behavior. Improvements across these areas of artificial intelligence (AI) can provide autonomous intelligent behavior in battlefield agents that goes beyond scripted behavior and is far more useful. Simulation can be used to address requirements development and testing of battlefield intelligent agents. Simulation can be used to promote integration of battlefield intelligent agents into military operations at all scales across all the levels of command.