Report Number: CS-TR-87-1182
Institution: Stanford University, Department of Computer Science
Title: Knowledge Base Refinement by Monitoring Abstract Control
Author: Wilkins, D. C.
Author: Buchanan, B. G.
Date: August 1987
Abstract: An explicit representation of the problem solving method of
an expert system shell as abstract control knowledge provides
a powerful foundation for learning. This paper describes the
abstract control knowledge of the Heracles expert system
shell for heuristic classification problems, and describes
how the Odysseus apprenticeship learning program uses this
representation to automate "end-game" knowledge acquisition.
Particular emphasis is given to showing how abstract control
knowledge facilitates the use of underlying domain theories
by a learning program.