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.


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    Title :

    A hybrid AI/game theory approach to aerial combat simulation


    Additional title:

    Hybride KI/Spieltheorie-Naeherung zur Luftkampf-Simulation


    Contributors:
    Powell, R.D. (author) / Maier, J.A. (author)


    Publication date :

    1988


    Size :

    8 Seiten, 18 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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