SIGAda Artificial Intelligence WG Meeting

Held at the ACM SIGAda Summer Working Group meeting and Washington Ada Symposium

June 27 1995

AIWG 1-day Workshop

The purpose of this workshop is to bring together software researchers and practitioners from real-time, Ada and AI communities to exchange ideas, results, and lessons learned, addressing the unique set of problems brought about by the integra tion of Artificial Intelligence (AI) into conventional embedded systems.

Artificial Intelligence technology is proving to be of value in solving complex problems requiring reasoning on dynamic, uncertain, and incompletely specified domains. AI has been successfully applied in a range of applications including, for example, decision support systems and situation assessment - for example, target classification and early warning systems - by allowing the manipulation of vast amounts of information generated by modern sensors and intelligence systems.

Although these next generation embedded systems possess some unique special purpose requirements, they must be integrated with existing conventional software per forming conventional real-time tasks. The integration of matured AI methods and techniques with conventional software engineering remains difficult and poses both implementation and conceptual problems.

Our ultimate goal is to understand what problems the embedded AI community (specially the defense establishment) face and what solutions are potentially or actually available to address these problems. As a result, we would be able to identify potential technology that makes the practice of software engineering more effective in solving embedded AI implementation problems. This introduces new conceptual and engineering problems into traditional AI and important software engineering challenges; these include:

Submit a position paper (2-3 pages) on any of the subjects listed above (or other related topic) by May 31, 1995. Authors will be notified of acceptance by June 10, 1995 and will be given instructions for final preparation of their papers/presentations at that time. (Submissions by e-mail using PostSript will be accepted and encouraged)

For additional information and address to send submissions:

Dr. Jorge L. Díaz-Herrera
Software Engineering Institute
Carnegie Mellon University
4500 Fifth Avenue, Pittsburgh, PA 15213-3890
voice: (412) 268-7636
FAX: (412) 268-5758
e-mail: JDIAZ@SEI.CMU.EDU