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Proceedings Paper

"Fast" Is Not "Real-Time": Designing Effective Real-Time AI Systems
Author(s): Cindy A. O'Reilly; Andrew S. Cromarty
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Paper Abstract

Realistic practical problem domains (such as robotics, process control, and certain kinds of signal processing) stand to benefit greatly from the application of artificial intelligence techniques. These problem domains are of special interest because they are typified by complex dynamic environments in which the ability to select and initiate a proper response to environmental events in real time is a strict prerequisite to effective environmental interaction. Artificial intelligence systems developed to date have been sheltered from this real-time requirement, however, largely by virtue of their use of simplified problem domains or problem representations. The plethora of colloquial and (in general) mutually inconsistent interpretations of the term "real-time" employed by workers in each of these domains further exacerbates the difficul-ties in effectively applying state-of-the-art problem solving tech-niques to time-critical problems. Indeed, the intellectual waters are by now sufficiently muddied that the pursuit of a rigorous treatment of intelligent real-time performance mandates the redevelopment of proper problem perspective on what "real-time" means, starting from first principles. We present a simple but nonetheless formal definition of real-time performance. We then undertake an analysis of both conventional techniques and AI technology with respect to their ability to meet substantive real-time performance criteria. This analysis provides a basis for specification of problem-independent design requirements for systems that would claim real-time performance. Finally, we discuss the application of these design principles to a pragmatic problem in real-time signal understanding.

Paper Details

Date Published: 5 April 1985
PDF: 9 pages
Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); doi: 10.1117/12.948443
Show Author Affiliations
Cindy A. O'Reilly, Advanced Information & Decision Systems (United States)
Andrew S. Cromarty, Advanced Information & Decision Systems (United States)

Published in SPIE Proceedings Vol. 0548:
Applications of Artificial Intelligence II
John F. Gilmore, Editor(s)

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