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SIGAda Artificial Intelligence WG Meeting
at the Washington Ada Symposium
McClean Hilton, Virginia
June 27-July 1, 1994
AIWG 1-day Workshop (June 27, 1994)
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The purpose of this workshop is to bring together software researchers and
practitioners from real-time and AI communities to exchange ideas, results,
and lessons learned, addressing the unique set of problems brought about by
the integration of Artificial Intelligence into conventional embedded systems.
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| With the dynamic growth of the field of Artificial Intelligence and
| the tremendous progress in hardware technology it seems inevitable
| that AI components will soon, if not already, play a major role in
| real-time embedded applications. Embedded AI refers to the use of
| knowledge-based techniques in larger systems in such a way as to
WHY? | enable new functionality and improved mission results as a whole.
| Designers of these AI embedded applications also face the same
| problems and challenges as traditional software engineers. These are
| compounded by the nature of AI algorithms and AI support tools.
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|----------------------------------------------------------------------
| Although these next generation embedded systems possess some unique
| special purpose requirements (for example, intelligent behavior such
| as introspection, self-monitoring and self-description), they must be
WHAT? | integrated with existing software performing conventional real-time
| tasks. This introduces new conceptual and engineering problems into
| traditional AI including (emphasis will be placed on software
| engineering and language issues):
|
| Systems design and integration
| AI problems (applications) and their solutions within the
| framework of embedded real-time systems
| integration approaches to incorporate knowledge-based
| technology with conventional, complex, large software systems
| Real-time AI computing
| algorithms (e.g., performance within real-time constraints)
| theory (e.g., reasoning with dynamically changing data)
TOPICS | Software Engineering issues
| scaling up (from prototypes to full-scale deployed systems)
| difficulties with requirements analysis and with design methods
| which adequately encompass rapid prototyping and V&V
| compliance with standard practice
| Language issues
| adequacy of traditional AI languages (specially CommonLisp)
| adequacy of software engineering languages (specially Ada)
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| Submit a position paper (2-3 pages) on any of the subjects listed
| above, or related topic, by May 15, 1994. Authors will be notified
| of acceptance by May 31, 1994 and will be given instructions for
| final preparation of their papers/presentations at that time.
|
| Dr. Jorge L. Diaz-Herrera
| Academic Education, Software Engineering Institute
| Carnegie Mellon University, Pittsburgh, PA 15213-3890
| voice: (412) 268-7636; FAX: (412) 268-5758;
| e-mail: ยทยทยทยท@SEI.CMU.EDU
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