Simulation-assisted inductive learning
Bruce G. Buchanan, John Sullivan, Tze-Pin Cheng, Scott H. Clearwater · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 1988
Learning by induction can require a large number of training examples. We show the power of using a simulator to generate training data and test data in learning rules for an expert system. The induction program is RL, a simplified version of Meta-DENDRAL. The expert system is ABLE, a rule-based system that identifies and located errors in particle beam lines used in high energy physics. A simulator of beam lines allowed forming and testing rules on sufficient numbers of cases that ABLE's performance is demonstrably accurate and precise. 13 refs., 2 figs.