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

fYear

1988

fDate

23-27 May 1988

Firstpage

1292

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Aerospace and Electronics Conference, 1988. NAECON 1988., Proceedings of the IEEE 1988 National

Conference_Location

Dayton, OH

Type

conf

DOI

10.1109/NAECON.1988.195172

Filename

195172