[net.ai] Project - Engineer's Assistant for Fault Diagnosis

MEISENSTADT@USC-ECLB.ARPA (07/12/84)

Human Cognition Research Laboratory, Open University, Milton Keynes, England

LOCATION: 50 miles north of London (between 38 and 60 minutes
          by train, depending upon the service).

COMPUTING FACILITIES:
   Symbolics 3600 Lisp Machine (for the dedicated use of this project), VAX
   11/750 running NIL, Prolog, and POP-11, and dedicated lines to the Open
   University's three DECsystem-20's running Interlisp, Maclisp, Edinburgh
   Prolog, etc. ALL TERMINALS IN OUR LAB ALSO HAVE DIRECT ARPANET ACCESS.

ACTIVE AI PERSONNEL: Two tenured staff members, (Marc Eisenstadt and Jon
   Slack), three research fellows, three Ph.D. students, and one consultant
   programmer, all of whom constitute the Human Cognition Research
   Laboratory's mainstream AI people.  The OU also has other active
   AI researchers on site, working under Max Bramer in the Maths Faculty
   and Tim O'Shea in the Institute of Educational Technology.  We are a
   vigorous and growing group of researchers, and our current manageable
   size enables us to offer the best AI computing facilities of any
   academic institution in Europe.

PROJECT: "A Knowledge Engineer's Assistant for Constructing
   Knowledge Based Fault Diagnosis Systems"

PROJECT SYNOPSIS: We are building a repertoire of rapid prototyping tools
   intended to speed up both the analysis of verbal protocols (such as
   those obtained during interviews with domain experts), and also the
   encoding of elicited knowledge into implementable form. The applied
   aspect of this work is the design of intelligent cross-referencing
   and browsing facilities linked directly to a coding window. The
   theoretical aspect of this work is an investigation of the process
   of theory-formation as typified by modern day Knowledge Engineers.

CONTACT: MEISENSTADT@USC-ECLB, or telephone (international) 011-44-908-653149
   or 011-44-908-661566.