Real-Time Adversarial Intelligence & Decision Making (RAID)

Challenges:

Tight interdependence, coupling of blue and red actions.
Blue knowledge of red assets and actions is inevitably limited. Observations as well as interpretations of the observations are subject to a significant degree of errors and latency.
In addition to partial, delayed and often erroneous observations, the battlefield knowledge is limited by a purposeful, continuous, aggressive, intelligent concealment and deception.
Cultural, doctrinal, psychological effects. It is not enough to consider the most dangerous course of action. The most likely course of action can be significantly different from the theoretically most advantageous one.
Complex urban terrain offers a high density of threats and opportunities for forces.
Further, the terrain itself is dynamic because it is modified by human actions.
The presence of non-combatants on the battlefield must be explicitly considered.
Fire and maneuver of forces are not the only actions that must be carefully considered. Intelligence gathering, communications, and logistics (including casualty evacuation) are tightly coupled with fire and maneuver.
The scale of the computational problem is immense and yet solutions must be generated in near real-time.
To be of practical value, a successful technical approach must allow for easy modification and extension of the coverage.

Specific Technical Challenges

Adversarial Reasoning: continuously identify and update predictions of likely enemy actions.
Deception Reasoning: continuously detect likely deceptions in the available battlefield information.