BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-77-605
       ENTRY:: June 28, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: A model for learning systems
        TYPE:: Technical Report
      AUTHOR:: Smith, Reid G.
      AUTHOR:: Mitchell, Tom M.
      AUTHOR:: Chestek, Richard A.
      AUTHOR:: Buchanan, Bruce G.
        DATE:: March 1977
       PAGES:: 26
    ABSTRACT:: A model for learning systems is presented, and representative
               AI, pattern recognition, and control systems are discussed in
               terms of its framework. The model details the functional
               components felt to be essential for any learning system,
               independent of the techniques used for its construction, and
               the specific environment in which it operates. These
               components are performance element, instance selector,
               critic, learning element, blackboard, and world model.
               Consideration of learning system design leads naturally to
               the concept of a layered system, each layer operating at a
               different level of abstraction.
       NOTES:: [Adminitrivia V1/Prg/19950628]
         END:: STAN//CS-TR-77-605