BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-82-908
       ENTRY:: June 01, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: Neomycin: reconfiguring a rule-based expert system for
               application to teaching
        TYPE:: Technical Report
      AUTHOR:: Clancey, William J.
      AUTHOR:: Letsinger, Reed
        DATE:: May 1982
       PAGES:: 12
    ABSTRACT:: NEOMYClN is a medical consultation system in which MYClN's
               knowledge base is reorganized and extended for use in GUIDON,
               a teaching program. The new system constitutes a
               psychological model for doing diagnosis designed to provide a
               basis for interpreting student behavior and teaching
               diagnostic strategy. The model separates out kinds of
               knowledge that are procedurally embedded in MYClN's rules and
               so inaccessible to the teaching program. The key idea is to
               represent explicitly and separately a domain-independent
               diagnostic strategy in the form of meta-rules, knowledge
               about the structure of the problem space, causal and
               data/hypothesis rules and world facts.

               As a psychological model, NEOMYCIN captures the
               forward-directed, "compiled associations" mode of reasoning
               that characterizes expert behavior. Collection and
               interpretation of data are focused by the "differential" or
               working memory of hypotheses. Moreover, the knowledge base is
               broadened so that GUIDON can teach a student when to consider
               a specific infectious dlsease and what competing hypotheses
               to consider, essentially the knowledge a human would need in
               order to use the MYCIN consultation system properly.
       NOTES:: [Adminitrivia V1/Prg/19950601]
         END:: STAN//CS-TR-82-908