Learning Operator Transformations
Abstract
A relational model representation of the effect of operators is learned and used to improve the acquisition of heuristics for problem solving. A model for each operator in a problem solving domain is learned from example applications of the operator. The representation is shown to improve the rate of learning heuristics for solving symbolic integration problems.
Cite
Text
Porter and Kibler. "Learning Operator Transformations." AAAI Conference on Artificial Intelligence, 1984.Markdown
[Porter and Kibler. "Learning Operator Transformations." AAAI Conference on Artificial Intelligence, 1984.](https://mlanthology.org/aaai/1984/porter1984aaai-learning/)BibTeX
@inproceedings{porter1984aaai-learning,
title = {{Learning Operator Transformations}},
author = {Porter, Bruce W. and Kibler, Dennis F.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1984},
pages = {278-282},
url = {https://mlanthology.org/aaai/1984/porter1984aaai-learning/}
}