Intelligent Agent-Based Software Architecture for Tactical Decision Aid under Overwhelming Information Inflow and Uncertainty

摘要

In the highly dynamic and information rich environment of military submarine operations, the Commanding Officer must make split second decisions that could ultimately result in the destruction or survival of Ownship or the accomplishment of its designated mission. Despite extensive training and expertise, the fog of war often shadows real world encounters. Pieces of the tactical puzzle may be scattered, broken, and/or even missing. It is the Commanding Officer's job to meld the fog into a clear tactical picture and intuitively decide upon the optimal course of action to obtain his mission goals and objectives. A mathematically derived optimal solution could be used as a decision making aid for the Commanding Officer to enhance Ownship's performance. A highly innovative hybrid Bayesian/differential game modeling approach is being developed utilizing 21CSI's Agent Enhanced Decision Guide Environment (AEDGE(TradeMark)), a COTS based agent architecture, to tackle this problem. The resulting decision aid will facilitate submarine operations by addressing such practical problems as tradeoff evaluation for course of action and maintaining tactical advantage while avoiding counter detection.