A hybrid AI/game theory approach to aerial combat simulation
| Autor: | R.D. Powell, J.A. Maier |
|---|---|
| Rok vydání: | 2003 |
| Předmět: |
Engineering
Generator (computer programming) Optimization problem business.industry ComputingMilieux_PERSONALCOMPUTING Open-loop controller ComputerApplications_COMPUTERSINOTHERSYSTEMS Control engineering Optimal control computer.software_genre Expert system Artificial intelligence Architecture business Representation (mathematics) Game theory computer |
| Zdroj: | Proceedings of the IEEE 1988 National Aerospace and Electronics Conference. |
| DOI: | 10.1109/naecon.1988.195172 |
| Popis: | 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. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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