BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-86-1124
       ENTRY:: May 01, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: Efficient Matching Algorithms for the SOARIOPSS Production
               System
        TYPE:: Technical Report
      AUTHOR:: Scales, Daniel J.
        DATE:: June 1986
       PAGES:: 58
    ABSTRACT:: SOAR is a problem-solving and learning program intended to
               exhibit intelligent behavior. SOAR uses a modified form of
               the OPS5 production system for storage of and access to
               long-term knowledge. As with most programs which use
               production system systems, the match phase of SOAR's
               production system dominates all other SOAR processing. This
               paper describes the results of an investigation of various
               ways of speeding up the matching process in SOAR through
               additions and changes to the OPS5 matching algorithm.
       NOTES:: [Adminitrivia V1/Prg/19950501]
         END:: STAN//CS-TR-86-1124