Using gaming technology to model and predict target movement
Ken Doris, David Silvia · Spring Simulation Multiconference · 2007
This paper discusses a research project that employs Artificial Intelligence (AI) to improve the ability of military planners to more effectively locate and engage Time-Sensitive Targets (TST's). Target motion prediction is modeled and simulated through the use of multiple software agents employing Goal Oriented Action Planning (GOAP), a type of AI that has had success in commercial computer games. The GOAP logic is augmented through the use of a pathfinding algorithm that includes multiple cost function terrain reasoning. The rationale behind the selection of the specific technologies, as well as progress being made to develop a prototype workstation for future incorporation into the Tactical Tomahawk, is also detailed.