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The Challenges of Real-Time AI

dc.contributor.authorMusliner, David Johnen_US
dc.contributor.authorHendler, Jamesen_US
dc.contributor.authorAgrawala, Ashok K.en_US
dc.contributor.authorDurfee, Edmund H.en_US
dc.contributor.authorStrosnider, Jay K.en_US
dc.contributor.authorPaul, C. J.en_US
dc.description.abstractThe research agendas of two major areas of computer science are converging: Artificial Intelligence (AI) methods are moving towards more realistic domains requiring real-time responses, and real-time systems are moving towards more complex applications requiring intelligent behavior. Together, they meet at the crossroads of interest in "real-time intelligent control," or "real-time AI." This subfield is still being defined by the common interests of researchers from both real-time and AI systems. As a result, the precise goals for various real-time AI systems are still in flux. This paper describes an organizing conceptual structure for current real-time AI research, clarifying the different meanings this term has acquired for various researchers. Having identified the various goals of real-time AI research, we then specify some of the necessary steps towards reaching those goals. This in turn enables us to identify promising areas for future research in both AI and real-time systems techniques. (Also cross-referenced as UMIACS-TR-94-69)en_US
dc.format.extent198304 bytes
dc.relation.ispartofseriesUM Computer Science Department; CS-TR-3290en_US
dc.relation.ispartofseriesUMIACS; UMIACS-TR-94-69en_US
dc.titleThe Challenges of Real-Time AIen_US
dc.typeTechnical Reporten_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_US
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md.)en_US
dc.relation.isAvailableAtTech Reports in Computer Science and Engineeringen_US
dc.relation.isAvailableAtUMIACS Technical Reportsen_US

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