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From: diana@csri.toronto.edu (Diana Li)
Newsgroups: ont.events,ut.ai
Subject: Marc Linster, Wednesday 26 July 1989: AI SEMINAR
Message-ID: <8907181842.AA06133@harbord.csri.toronto.edu>
Date: 18 Jul 89 19:21:02 GMT
Lines: 40


           Department of Computer Science, University of Toronto
         (SF = Sandford Fleming Building, 10 King's College Road)

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

                                AI SEMINAR
              SF 3207*, at 11:00 a.m., Wednesday 26 July 1989

                               Marc Linster
      Gesellschaft fur Mathematik und Datenverarbeitung, West Germany

                           "From KRITON to IRMA:
            Two Paradigms for Automated Knowledge Acquisition"

GMD's project KRITON is concerned with basic research in the domain of
automated and computer-supported knowledge acquisition.  After a short
presentation of GMD and its Institute for Applied Information Technology we
will describe the projects of the expert system research group that
constitute the context of the KRITON project.

I will first present and critique the knowledge-acquisition system KRITON
that integrates two techniques originating from cognitive psychology, i.e.
interview techniques and protocol analysis.  The KRITON-system is based on
a bottom-up approach, i.e. it focuses on the support of rapid prototyping.

The second approach I will present is based on the KADS-knowledge-models
(Knowledge Acquisition and Design Structuring) and on our experience with
the techniques that were originally developed for the KRITON-system.  This
approach is best described as model-guided knowledge acquisition.  The
system that will result from the integration of knolwedge-modeling with
knowledge acquisition will be called IRMA (Interpretation, Representation,
Modeling and Acquisition).  IRA-grid (Interpretation, Representation and
Acquisition using repertory-grids) is the first component of IRMA.  It is a
knowledge-acquisition tool that tries to acquire the knowledge needed for
hypothesis-selection processes.

                    ___________________________

* Please note the change of location.