DocumentCode :
1239090
Title :
The challenges of real-time AI
Author :
Musliner, David J. ; Hendler, James A. ; Agrawala, Ashok K. ; Durfee, Edmund H. ; Strosnider, Jay K. ; Paul, C.J.
Author_Institution :
Maryland Univ., College Park, MD, USA
Volume :
28
Issue :
1
fYear :
1995
fDate :
1/1/1995 12:00:00 AM
Firstpage :
58
Lastpage :
66
Abstract :
The research agendas of artificial intelligence and real-time systems are converging as AI methods move toward domains that require real-time responses, and real-time systems move toward complex applications that require intelligent behavior. They meet at the crossroads in an exciting new subfield commonly called “real-time AI.” This subfield is still being defined, and the precise goals for various real-time AI systems are in flux. Our goal is to identify promising areas for future research in both real-time and AI techniques. We describe an organizing conceptual structure for current real-time AI research, exploring the meanings this term has acquired. We then identify the goals of real-time AI research and specify some necessary steps for reaching them
Keywords :
artificial intelligence; cooperative systems; medical diagnostic computing; medical expert systems; patient care; patient treatment; planning (artificial intelligence); problem solving; real-time systems; search problems; temporal reasoning; artificial intelligence; conceptual structure; current real-time AI research; real-time AI; real-time systems; Application software; Artificial intelligence; Control systems; Humans; Intelligent sensors; Medical control systems; Mobile robots; Real time systems; Remotely operated vehicles; Uncertainty;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/2.362628
Filename :
362628
Link To Document :
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