Report Number: CS-TR-77-605
Institution: Stanford University, Department of Computer Science
Title: A model for learning systems
Author: Smith, Reid G.
Author: Mitchell, Tom M.
Author: Chestek, Richard A.
Author: Buchanan, Bruce G.
Date: March 1977
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.