Learning Procedures from Examples and by Doing
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Learning and Acquisition. Pages 624-629.
Abstract
This paper de sc ribes a program that learns procedures hv examining worked-out ex~mples in a textbook ;md hv working problem s. Two kinds of production ( lf~lh<'ll) rules are created: ll'orl.ing .li"word rule s that produce an action when a procedure is executed ~nd dif/('r<'IIC<' rules that suggest operators from observed transformations. Durin g example leilrning . the progrllm examines tvvo states in an example, figures out the operator that produced the second state and creates a production with some part of the first line in the condition with the operator in the action. During learning 11\ wo rking problems , the program generates its own example trace by problem so lv ing and uses the same example learning techniques.
@inproceedings{ijcai1985p120,
title = {Learning Procedures from Examples and by Doing},
author = {Neves, David M.},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {624--629},
year = {1985},
note = {Learning and Acquisition},
url = {https://ijcai.org/proceedings/1985/120},
}
TY - CPAPER TI - Learning Procedures from Examples and by Doing AU - Neves, David M. T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 624 EP - 629 UR - https://ijcai.org/proceedings/1985/120 ER -Copied
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