An Adaptive Command and Control System Utilizing Heuristic Learning Processes. AIM-058

The objectives of the research reported here are to develop an
automated decision process for real time allocation of defense
missiles to attacking ballistic missiles in general war and to
demonstrate the effectiveness of applying heuristic learning to seek
optimality in the process. The approach is to model and simulate a
missile defense environment and generate a decision procedure
featuring a self-modifying, heuristic decision function which
improves its performance with experience. The goal of the decision
process that chooses between the feasible allocations is to minimize
the total effect of the attack, measured in cumulative loss of
target value. The goal is pursued indirectly by considering the
more general problem of maintaining a strong defense posture, the
ability of the defense system to protect the targets from both
current and future loss.
The objectives of the research reported here are to develop an
automated decision process for real time allocation of defense
missiles to attacking ballistic missiles in general war and to
demonstrate the effectiveness of applying heuristic learning to seek
optimality in the process. The approach is to model and simulate a
missile defense environment and generate a decision procedure
featuring a self-modifying, heuristic decision function which
improves its performance with experience. The goal of the decision
process that chooses between the feasible allocations is to minimize
the total effect of the attack, measured in cumulative loss of
target value. The goal is pursued indirectly by considering the
more general problem of maintaining a strong defense posture, the
ability of the defense system to protect the targets from both
current and future loss.