Artificial-intelligence methods in decision and control systems
Artificial-intelligence methods were applied to the design and implementation of some decision and control systems. A so-called semantic approach to control and decisions was developed and artificial-intelligence methods were used to provide a realizable implementation. These concepts were tested using applications from robust identification and control of time-varying systems, intelligent navigation, and intelligent simulation of differential games. An aspect of a generalized traveling-salesman problem was solved, and intelligent simulation of differential games was implemented in Prolog using an example system for automated learning by tactical decision systems in air combat. These implementations were successful and provide several advantages over traditional approaches. The limitations of these concepts were identified and suggestions for future work are made.
- Research Organization:
- Washington Univ., Seattle, WA (USA)
- OSTI ID:
- 5173558
- Country of Publication:
- United States
- Language:
- English
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