An agent-based modeling approach to quantifying the value of battlefield information

This paper describes a methodology we chose to investigate whether an agent-based-model (ABM) could be used to suggest appropriate behaviors for a combat force equipped with a proposed information system. The decision agents within the model will use the information about enemy forces, friendly forces, and terrain provided by the proposed information system to adjust the friendly course of action to the updated situation. We first execute simulation runs using an existing scenario. We then transfer existing scenario to an ABM with intelligent agents that will refine the course of action by generating new unit positions and routes based upon the current situation. In the final step, we substitute the ABM developed course of action and behaviors back into scenario and execute another set of simulation runs. The performance of the friendly force using the proposed information system and ABM generated behaviors may be compared to the performance of the base case. This gives insight into the potential increase in combat effectiveness realized through the use of an information system.