[comp.ai] Call for Papers - HICSS23

dave@sequoia.UUCP (Dave King) (04/06/89)

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                 Call for Papers
 Expert Systems Minitrack in the DSS-KBS Track of the
Hawaii International Conference on System Sciences - 23
           Kailua-Kona, HI Jan., 1989

Expert systems and knowledge-base systems are being applied
in a variety of domains.  This minitrack of the DSS-KBS Track
at HICSS-23 focuses primarily on the use of ES/KBS in the 
decision support, business/financial and information management
delivery arenas. While the focus is somewhat specific, papers
can be theoretical, applied or empirical in nature.  In particular,
papers dealing with one or more of the following topics are
encouraged:

o Knowledge representation
o Reasoning with uncertainty, probablistic or fuzzy data
o Common sense reasoning
o Knowledge acquisition
o Tools and technologies for creating ES/KBS
o Distributed ES/KBS
o Integrating ES/KBS with DSS or DBMS
o Embedding ES/KBS in DSS or DBMS
o Intelligent tutoring and frontends
o Conversational advisory systems and natural language frontends
o Empirical studies dealing with the use of ES/KBS technology
o Prototypical or commercial ES/KBS in specific domains which 
  illustrate innovative applications or aspects of these technologies

INSTRUCTIONS FOR SUBMITTING PAPERS

Manuscripts should be 22-26 typewritten, double-spaced pages in length.
Do not send submissions that are significantly shorter or longer than
this.  Papers must not have been previously presented or published,
nor submitted for journal publication.  Each manuscript will be
subjected to a rigorous refereeing process.  Manuscripts should have
a title page that includes the title of the paper, full name(s) of its
author(s), affiliation(s), complete mailing and electronic address(es),
telephone number(s), and a 300-word abstract.

DEADLINES

o Six copies of the manuscript are due by June 6, 1989
o Notification of accepted papers by Sept. 1, 1989
o Camera ready copy by Oct. 1, 1989

SEND PAPERS TO

Dave King
Director, AI Applications
Execucom Systems Corp.
9442 Capital of Texas Hwy. N.
Arboretum Plaza One
Austin TX 78759
512-346-4980

or

Professor James Marsden
Department of Decision Science and Information Systems
College of Business and Economics
University of Kentucky
Lexington, KY 40506-0034
606-257-2536
Distribution: 
Organization: Execucom Systems Corp., Austin, Texas
Keywords: