Simulation-Assisted Inductive Learning
Abstract
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.
Cite
Text
Buchanan et al. "Simulation-Assisted Inductive Learning." AAAI Conference on Artificial Intelligence, 1988.Markdown
[Buchanan et al. "Simulation-Assisted Inductive Learning." AAAI Conference on Artificial Intelligence, 1988.](https://mlanthology.org/aaai/1988/buchanan1988aaai-simulation/)BibTeX
@inproceedings{buchanan1988aaai-simulation,
title = {{Simulation-Assisted Inductive Learning}},
author = {Buchanan, Bruce G. and Sullivan, John and Cheng, Tze-Pin and Clearwater, Scott H.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1988},
pages = {552-557},
url = {https://mlanthology.org/aaai/1988/buchanan1988aaai-simulation/}
}