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Papers describing significant unpublished results are solicited in two
areas:

 * Applications Papers. Contributions stemming from the general areas of
   industry, science and engineering, business, government, law, etc.
   Application papers must: (1) Justify the use of the AI technique, based on
   the problem definition and an analysis of the application's requirements;
   (2) Explain how AI technology was used to solve a significant problem; (3)
   Describe the status of the implementation; (4) Evaluate the effectiveness
   of the application and the technique used.

   Short papers describing systems in use (up to 1000 words, extended
   abstract) will also be accepted for presentation in these application
   tracks.

 * Enabling Technology Papers. Contributions focusing on techniques and
   principles that facilitate the development of practical AI applications
   that can be scaled to handle increasing problem complexity. Topics
   include, but are not limited to: knowledge representation, reasoning,
   search, knowledge acquisition, learning, constraint programming, planning,
   (including artificial neural nets, genetic algorithms, nearest neighbors,
   etc.), validation and verification, project management, natural language
   processing, speech, robotics, data discovery and database mining,
   multimedia and virtual reality applications, intelligent interfaces,
   integration, problem-solving architectures, programming environments,
   exploitation of parallelism, and general tools.

Papers should be limited to 5000 words. Papers significantly longer that
this will not be reviewed. The first page of the paper must contain the
following information (where applicable) in the order shown:

* Title.
* Author's name and affiliation (specify student status).
* Contact information (name, postal address, phone and email address).
* Abstract: A 200 word abstract that includes a clear statement
  describing the paper's original contributions and what new lesson is
  imparted. 
* AI topic: One or more terms describing the relevant AI areas, e.g.
  knowledge acquisition, explanation, diagnosis, etc. 
* Domain area: One or more terms describing the problem domain area, e.g.
  mechanical design, factory scheduling, education, medicine, etc. 
* Language/Tool: Underlying programming languages, systems and tools used.
* Status: Development and deployment status, as appropriate.
* Effort: Person-years of effort put into developing the particular aspect
  of the project being described. 
* Impact: A 20 word description of estimated or measured (specify) benefit
  of the application developed. 

Papers will be accepted in two forms: long papers and short papers. Papers
accepted for publication will be allotted seven pages (long papers) or
four papers (short papers) in the conference proceedings. The best papers
accepted will be considered for a special issue of IEEE EXPERT to appear
late in 1993. Awards will be presented to best paper and best student
paper at the conference.

In addition to papers, we will be accepting the following types of
submissions:

* Proposals for Panel Discussions. Provide a brief description of the
  topic (1000 words or less). Indicate the membership of the panel and
  interest in organizing/moderating the discussion.

 * Proposals for Tutorial Presentations. Proposals for the three hour
   tutorials of both an introductory and advanced nature are requested.
   Topics should relate to the management and technical development of useful
   artificial intelligence applications. Tutorials which analyze classes of
   applications in depth or examine techniques appropriate for a particular
   class of applications are of particular interest.

Each tutorial should include the following:

 * Detailed topic outline and extended abstract (about 3 pages).
 * Intended audience and assumed background knowledge.
 * Half-page synopsis of focus, topics, and benefits to audience.
 * Full professional vita (including lecture/tutorial experience and a
   one-paragraph summary. 

* Proposals for Workshops. Proposals are sought for one day workshops to
be held in conjunction with the conference. These workshops can focus on a
specific application domain (e.g. aerospace applications) or on a
technical subarea (e.g. intelligent real time problem solving).  Workshop
organization and attendance will be governed by the organizers.  Submit
proposals to the Workshop Chair.

Important Dates
* August 31, 1992: Four copies of papers, and three copies of all the
  proposals are due. Submissions not received by that date will be returned
  unopened. Electronically transmitted materials will not be accepted. 

* October 30, 1992: Author notifications mailed.

* December 14, 1992: Accepted papers due to IEEE. Accepted tutorial
  notes due to Tutorial Chair. 

* March 1-2, 1993: Conference tutorial program.

* March 3-5, 1993: Conference technical program.

Submit Papers and Panels to:
  David Waltz
  Thinking Machines Corporation
  245 First Street
  Cambridge, MA  02142-1214
  Phone:  617-234-2050
  Fax:  617-234-4444
  Email:  waltz@think.com

Submit Tutorial or Workshop Proposals to:
  Peter Selfridge
  AT&T Bell Labs
  2B-425
  600 Mountain Avenue
  P.O. Box 636
  Murray Hill, NJ  07974
  Phone:  908-582-6801
  Email:  pgs@research.att.com

For registration and additional conference information, contact:
  CAIA-93
  IEEE Computer Society
  1730 Massachusetts Avenue, NW
  Washington, DC  20036-1903
  Phone:  202-371-1013


General Chair:
	Jan Aikins, Aion Corporation

Program Chair:
	David Waltz, 
	Thinking Machines Corporation, and Brandeis University

Tutorial/Workshop Co-Chairs:
	Donald McKay, Paramax Systems Corporation
	Peter Selfridge, AT&T Bell Laboratories

Publicity Chair:
	Curt Hall, Intelligent Software Strategies

Local Arrangements Chair:
	Doug Dankel, University of Florida


Program Committee:
  Chid Apte, IBM
  Ralph Barletta, Cognitive Systems
  Madeleine Bates, Bolt, Beranek & Newman
  Vasant Dhar, NYU
  Bob Engelmore, Stanford University
  Tim Finin, University of Maryland Baltimore County
  Brad Goodman, Mitre Corporation
  Mark Goodman, Cognitive Systems, Inc. and Brandeis University
  Paul Haley, The Haley Enterprise
  Larry Harris, AI Corporation
  Phil Hayes, Carnegie Group, Inc.
  Se June Hong, IBM
  Anthony Maddox, Northeastern University
  Patti Maes, MIT Media Lab
  Rob Milne, Intelligent Applications (Scotland)
  Bernadette Kowalski Minton, Aion Corporation
  Steve Minton, NASA Ames Research Center
  Fumio Mizoguchi, Tokyo Science University
  Peter Norvig, Sun Microsystems Laboratories
  Dan O'Leary, University of Southern California
  James Pustejovsky, Brandeis University
  Elaine Rich, MCC
  Edwina Rissland, University of Massachusetts
  Oliver Selfridge, GTE Laboratories
  Howard E. Schrobe, Symbolics, Inc.
  Candy Sidner, DEC Cambridge Research Laboratory
  Craig Stanfill, Thinking Machines Corporation
  Oliver Vadas, Pulp and Paper Research Insititute of Canada

Partial list of invited speakers:

  Patrick Winston, MIT and Ascent Technology
  "Learning and Database Mining"

  Wendy Lehnert, University of Massachusetts
  "What We've Learned from the DARPA Natural Language Initiative"