Title :
A hybrid AI/game theory approach to aerial combat simulation
Author :
Powell, Robert D. ; Maier, Jeffrey A.
Author_Institution :
Anal. Sci. Corp., Fairborn, OH, USA
Abstract :
An architecture is proposed which combines artificial intelligence (AI) and game theory to produce near-optimal aerial combat maneuvers. The architecture consists of a flight-path generator, a series of communicating expert objects (CEOs) representing various maneuvers, and an executive. The executive chooses the CEO with the highest score. The chosen CEO passes the formulation of an optimization problem to the flight-patch generator which calculates open-loop controls for the near-optimal flight path, thus closing the loop. The architecture has been realized in the Air Combat Maneuvering Expert (ACME) model, which gives a good representation of one-on-one basic fighter maneuvers
Keywords :
aerospace computing; artificial intelligence; digital simulation; game theory; Air Combat Maneuvering Expert; aerial combat simulation; communicating expert objects; executive; flight-path generator; hybrid AI/game theory approach; near-optimal aerial combat maneuvers; open-loop controls; optimization problem; Analytical models; Artificial intelligence; Expert systems; Game theory; Humans; Military aircraft; Open loop systems; Optimal control; Predictive models; Production systems;
Conference_Titel :
Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National
Conference_Location :
Dayton, OH
DOI :
10.1109/NAECON.1988.195172
