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Title: Artificial intelligence-methods in decision and control systems

Abstract

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 travelling-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.

Authors:
Publication Date:
Research Org.:
Washington Univ., Seattle, WA (USA)
OSTI Identifier:
6046239
Resource Type:
Miscellaneous
Resource Relation:
Other Information: Thesis (Ph. D.)
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ARTIFICIAL INTELLIGENCE; CONTROL SYSTEMS; DECISION MAKING; IMPLEMENTATION; PROLOG; PROGRAMMING LANGUAGES 990200* -- Mathematics & Computers

Citation Formats

Lirov, Y.V. Artificial intelligence-methods in decision and control systems. United States: N. p., 1987. Web.
Lirov, Y.V. Artificial intelligence-methods in decision and control systems. United States.
Lirov, Y.V. 1987. "Artificial intelligence-methods in decision and control systems". United States. doi:.
@article{osti_6046239,
title = {Artificial intelligence-methods in decision and control systems},
author = {Lirov, Y.V.},
abstractNote = {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 travelling-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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = 1987,
month = 1
}

Miscellaneous:
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