[CFP] AI Meets the Real World '98 Lessons Learned!

Eugene Santos, Jr. (eugene@eng2.uconn.edu)
Mon, 2 Mar 1998 15:51:38 +0100 (MET)

This is a multi-part message in MIME format.
--------------59DD2BA1A3F6948DB7AC554B
Content-Type: text/plain; charset=us-ascii
Content-Transfer-Encoding: 7bit

-- 
     Eugene Santos, Jr.	  *********	Computer Science & Engineering Dept
   eugene@eng2.uconn.edu  *   ?   *	University of Connecticut
   "It's not our fault!"  *   ?   *	UTEB, 191 Auditorium Rd, U-155
      - Kei & Yuri	  ********* 	Storrs, CT 06269-3155
                 http://www.eng2.uconn.edu/~eugene
--------------59DD2BA1A3F6948DB7AC554B
Content-Type: text/plain; charset=us-ascii; name="cfp.asc.1"
Content-Transfer-Encoding: 7bit
Content-Disposition: inline; filename="cfp.asc.1"

[Sorry if you get this message more than once! It is being posted to several distribution lists.

Distribute this freely and widely!]

------------------------------------------------------------------------------- -------------------------------------------------------------------------------

AI meets the Real World '98 Lessons Learned

C a l l f o r P a r t i c i p a t i o n

September 16 - 18, 1998

University of Connecticut -- Stamford Campus Stamford, CT

Sponsored by: University of Connecticut Honeywell Technology Center DARPA US Air Force Research Labs -- Phillips Lab

To a large and growing extent, techniques from the field of Artificial Intelligence are being applied in the implementation of fielded systems addressing practical problems in a wide range of domains, from manufacturing, to consumer services, to military and spacecraft operations, to name a very few. As a result, an informal and pragmatic practice of "AI engineering" has arisen, involving the identification, adaptation, and application of techniques including diagnostic systems, trend analysis and projection, uncertain reasoning and decision analysis, virtual environments/reality, training and tutoring systems, planning and scheduling, natural language parsing and generation, and parameter estimation and other forms of learning. The resulting systems range from large-scale, stand-alone intelligent systems, to embedded knowledge bases, to minor components of much larger applications. As one might expect from a body of work largely developed within a common intellectual and philosophical tradition, what we have here broadly termed "AI techniques" have some common features. These approaches tend to be complex and computationally intensive and to require a great deal of understanding and modelling, in some cases engineering, of the target domain and application for the approach to be successful. The aim of this meeting is to bring together researchers, practitioners, and developers of intelligent systems throughout academia, industry, and government to discuss and disseminate LESSONS LEARNED from successful (or unsuccessful) attempts to design, construct, field, and maintain intelligent systems. The meeting will consist of presentations, panel discussions, and invited speakers. Our hope is to build a better knowledge base of how to successfully apply and correctly use artificial intelligence in real world systems. This meeting is not intended as a forum for those who already deeply immersed in AI. We particularly welcome people who are considering an AI-based approach to their problem to attend and participate in these discussions. We invite the submission of papers and topic ideas for panel discussions. Papers and presentations should be based on systems developed (or in progress) for real world use. Among the issues that might be of interest in such a presentation we would expect to find the following:

-- What characteristics of the domain and the application lead to your choice of solution method? What alternative methods were considered and rejected? Were these choices revisited (and revised?) at some later point? -- What difficulties did you encounter? Which ones were expected? Unexpected? -- What was the final outcome? What qualifications or modifications of the original statement of the problem or system requirements were made? -- What lessons can be drawn from this experience, regarding: +++ domains where particular AI techniques are or aren't useful? +++ how to go about determining the utility of a technique in a new domain? +++ pitfalls to beware in system design, implementation, etc., that are peculiar to intelligent systems?

We are also especially INTERESTED in soliciting questions/issues at all levels from both new and experienced systems builders on problems and approaches of using AI. Members of our program committee will attempt to answer and/or provide advice to these questions. These will be published in our printed proceedings. Of these, a select set of questions or general class of questions will be chosen for a special panel discussion session at the conference.

Up-to-date meeting information will be provided at:

http://www.eng2.uconn.edu/cse/Conferences/AIMTRW-98

Proceedings of invited papers will be published.

---------------- | Organizers | ----------------

Meeting Co-Chairs - ----------------- Eugene Santos, Jr. (University of Connecticut -- Storrs) Mark Boddy (Honeywell Technology Center, Minneapolis, MN) Doug Dyer (DARPA)

Program Committee - ----------------- Sheila B. Banks (Air Force Institute of Technology) Piero Bonissone (GE & Renssellaer Polytechnic Institute) Jack Breese (Microsoft) Wray Buntine (Ultimode & UC Berkeley) Fabio Cozman (University of Sao Paulo) Bruce D'Ambrosio (Prevision & Oregon State University) Neal Glassman (Air Force Office of Scientific Research) James Hendler (University of Maryland) Chahira Hopper (Air Force Research Labs, Wright Lab) W. Lewis Johnson (University of Southern California/ISI) F. Alex Kilpatrick (Air Force Research Labs, Phillips Lab) Michael B. Leahy Jr. (DARPA) Claudia M. Meyer (NASA LERC) Alan L. Meyrowitz (Naval Research Laboratory) Doug Moran (SRI) Steve Rogers (Battelle) Solomon Eyal Shimony (Ben Gurion University of the Negev) Mike Shneier (Office of Naval Research) Valerie J. Shute (Air Force Research Labs, Armstrong Lab) Douglas Smith (Kestrel Institute) Martin R. Stytz (Air Force Institute of Technology) Abraham Waksman (Air Force Office of Scientific Research) Fred A. Watkins (Hyperlogic) Edward Wong (Polytechnic University)

--------------------------- | Submission Guidelines | ---------------------------

Authors should submit full papers addressing the above issues with a strong emphasis on "lessons learned." These will be evaluated for clarity of presentation and significance of contribution to the community. All accepted papers will be presented either orally or through a poster session and will be made available in a printed proceedings. Papers may be submitted either electronically or in hard copy form. Electronic submission may take the form of PostScript files, ASCII, or LaTeX files. Authors should be careful to include all macro files necessary for LaTeX files as we will not be responsible for files which cannot be formatted. Figures for LaTeX should be PostScript files. Hardcopy submissions should have 1-inch margins on all sides and should be in 12-point type. Papers should be a maximum of 20 pages long, including figures and references. Names, address, and e-mail of authors and an abstract should be included at the beginning of each paper.

Hard copy submissions must arrive by May 15, 1998, and sent to

Eugene Santos, Jr. [ATTN: AIMTRW-98] Computer Science and Engineering Department University of Connecticut UTEB, 191 Auditorium Rd., U-155 Storrs, CT 06269-3155 (860) 486-1458

Electronic submissions should be e-mailed by May 15, 1998, to

eugene@eng2.uconn.edu

Papers not meeting the deadline will not be considered.

Proposals for panel discussions and invited speakers should be e-mailed by May 15, 1997, to the above address.

For questions/issues, we solicit up to two (2) pages per question. Provide as much detail as possible for proper evaluation of the question by the program committee. We prefer electronic submissions to the above email address. Hard copy is welcome to the above address. These are also due May 15, 1998.

++++++++++++++++++++++++++++++++++++++ !++Meeting Attendance/Participation++! ++++++++++++++++++++++++++++++++++++++

Due to the limited space available for this meeting, we request that those planning to attend send an e-mail by May 1, 1998 to

eugene@eng2.uconn.edu

stating your intent and whether you will be also submitting a paper.

--------------------- | Important Dates | ---------------------

May 1, 1998 Deadline for participation request May 15, 1998 Deadline for paper submission May 15, 1998 Deadline for question submission May 15, 1998 Deadline for panel proposals, etc. June 15, 1998 Notification of acceptance or rejection June 29, 1998 Final camera-ready papers due September 16 - 18, 1998 Meeting dates

--------------59DD2BA1A3F6948DB7AC554B--