The challenges of real-time AI

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 c...

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Bibliographic Details
Published inComputer (Long Beach, Calif.) Vol. 28; no. 1; pp. 58 - 66
Main Authors Musliner, D.J., Hendler, J.A., Agrawala, A.K., Durfee, E.H., Strosnider, J.K., Paul, C.J.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.1995
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Application software
Artificial intelligence
Control systems
Humans
Intelligent sensors
Medical control systems
Mobile robots
Real time
Real time systems
Remotely operated vehicles
Uncertainty
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Summary: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.< >
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0018-9162
1558-0814
DOI:10.1109/2.362628