Automated learning by tactical decision systems in air combat

Modelling CGFs for Tactical Air-to-Air Combat Training

The Smart Bandits project in the Netherlands aims at developing Computer Generated Forces (CGF) exhibiting realistic tactical behaviour so as to increase the value of simulation training for fighter pilots. Although the focus lies on demonstrating adversarial behaviour in air-to-air missions, the results are more widely applicable in the simulation domain. CGF behaviour is traditionally governe...

Aegis Anti-Air Warfare Tactical Decision Aids

PL has been developing shipboard tactical decision aids since 1986 to address the needs of the Aegis warfighter. These efforts have applied a legacy of anti-air warfare experience since the 1970s through radar simulation, propagation analysis, environmental assessment, field testing, and U.S. Navy exercise support. The Laboratory has delivered several capabilities to the operational Navy. Centr...

Tactical combat casualty care.

Intelligent Automated Agents for Tactical Air Simulation: A Progress Report

time, flexibly use a small amount of tactical Abstract knowledge about two classes of one-versusThis article reports on recent progress one (1-v-1) Beyond Visual Range (BVR) in the development of TacAir-Soar, an tactical air scenarios. In the non-jinking intelligent automated agent for tactical air bogey scenarios, one plane (the non-jinking simulation. This includes progress in bogey) is unarm...

Adaptation of a Mamdani Fuzzy Inference System Using Neuro-Genetic Approach for Tactical Air Combat Decision Support System

Normally a decision support system is build to solve problem where multicriteria decisions are involved. The knowledge base is the vital part of the decision support containing the information or data that is used in decision-making process. This is the field where engineers and scientists have applied several intelligent techniques and heuristics to obtain optimal decisions from imprecise info...