An agent-based approach to analyzing information and coordination in combat

Abstract

The quality and quantity of information flows is a critical factor in the command and control of forces in battle. Many current simulations do not adequately show the interactive effects of information on the battlefield. Agent-based simulation is a promising technique that can provide insight into these effects. The purpose of this thesis was to develop an agent-based simulation to analyze the relationship between information and command structure. SInBaD (Simulation of Information in Battlefield Decisions) was the agent-based simulation developed specifically for this thesis. Although SInBad is only an abstract model of combat, it is believed that this approach can provide much insight into the mechanisms that affect the effectiveness of information in battle. Several combat scenarios were simulated using different control rules. These simulations Suggest that there exist scenarios where information is essential to mission success and some cases where its role is less instrumental or even detrimental. Other insights generated from this research suggest that agent-based simulation may help define metrics useful in aiding decision-makers during the planning and execution of a large and complex campaign.