[news.announce.conferences] CFP: 3rd Knowledge Acquisition Workshop

taylor@hplabsz.UUCP (10/29/87)

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                         Call for Participation:
      3RD KNOWLEDGE ACQUISITION FOR KNOWLEDGE-BASED SYSTEMS WORKSHOP

                            Sponsored by the:
         AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE (AAAI)

                              Banff, Canada
                           November 7-11, 1988

A problem in the process of building knowledge-based systems is acquiring 
and modeling appropriate problem-solving knowledge. The objective of this 
workshop is to assemble theoreticians and practitioners of AI who recognize 
the need for developing methods and systems that assist the knowledge 
acquisition process.

To encourage vigorous interaction and exchange of ideas the workshop will 
be kept small - about 40 participants. There will be individual 
presentations and ample time for technical discussions. An attempt will be 
made to define the state-of-the-art and future research needs. Attendance 
will be limited to those presenting their work, one author per paper.

Papers are invited for consideration in all aspects of knowledge 
acquisition for knowledge-based systems, including (but not restricted to):

o Transfer/modeling of expertise - systems that obtain and model knowledge 
  from experts.
o Transfer/modeling of expertise - manual knowledge acquisition methods and 
  techniques.
o Apprenticeship, explanation-based, and other learning systems; 
  integration of such systems with other knowledge acquisitIon techniques.
o Issues in cognition and expertise that affect the knowledge acquisition 
  process.
o Extracting and modeling of knowledge from text.
o Integration of knowledge acquisition techniques within a single system; 
  integration of knowledge acquisition systems with other systems (hypermedia,
  database management systems, simulators, spreadsheets...).
o Knowledge acquisition methodology and training.
o Validation of knowledge acquisition techniques; the role of knowledge 
  acquisition techniques in validating knowledge-based systems.

Five copies of an abstract (from 4 to 8 pages) or a full-length paper (up 
to 20 pages) should be sent to John Boose before May 15, 1988. Acceptance 
notices will be mailed by July 15. Full papers (20 pages) should be 
returned to the chairman by September 30, 1988, so that they may be bound 
together for distribution at the workshop.

Ideal abstracts and papers will make pragmatic or theoretical contributions 
supported by a computer implementation, and explain them clearly in the 
context of existing knowledge acquisition literature. Variations will be 
considered if they make a clear contribution to the field (for example, 
comparative analyses, major implementations or extensions, or other 
analyses of existing techniques).

There will be a travel-and-expense award of up to $500.00 US for the best 
paper submitted by a graduate student. Please note if the paper should be 
considered for this award. 

Workshop Co-chairmen:

Send papers via US mail to:
John Boose                                      
Advanced Technology Center                      
Boeing Computer Services, 7L-64                 
PO Box 24346                                    
Seattle, Washington, USA  98124                         
(206) 865-3253                                  

Send papers via express mail to:
John Boose
Advanced Technology Center, 7L-64
Boeing Computer Services, Bldg. 33.07
2760 160th Ave. SE
Bellevue, Washington, USA  98008

Brian Gaines
Department of Computer Science
University of Calgary
2500 University Dr. NW
Calgary, Alberta, Canada T2N 1N4
(403) 220-5901

Program and Local Arrangements Committee:

Jeffrey Bradshaw, Boeing Computer Services
B. Chandrasekaran, Ohio State University
William Clancey, Stanford University
Michael J. Freiling, Tektronix, Inc.
Catherine Kitto, Boeing Computer Services
Sandra Marcus, Boeing Computer Services
John McDermott, Digital Equipment Corporation
Ryszard Michalski, University of Illinois
Mildred Shaw, University of Calgary
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