Proceedings:
Book One
Volume
Issue:
Proceedings of the AAAI Conference on Artificial Intelligence, 4
Track:
Learning
Downloads:
Abstract:
This paper is about explanation-based learning for heuristic problem solvers which "build" solutions using schemata (frames like scripts) as both "bricks" and "mortar". The heart of the paper is a description of a generalization method which is designed to extract as much information as possible from examples of successful problem solving behavior. A related generalizer, (less powerful but more efficient), has been implemented as part of an experimental apprentice.
AAAI
Proceedings of the AAAI Conference on Artificial Intelligence, 4