Learning Equation Solving Methods From Examples
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Learning and Knowledge Acquisition. Pages 429-430.
Abstract
This J:Sper describes LP*, a program that learns new techniques for solving equations by examining worked examples. Unlike most of the work in this field, e.g. (Neves, 1978), where the equations used have been very simple, LP uses complex equations, see below. LP can learn from one example, using concepts from the planning field. In order to be able to successfully use a new technique, LP learns many different types of information. To learn new rewrite rules, LP cOmJ:Sres consecutive lines in the worked example, finding differences between them. It also learns the strategic purpose of the stepa, by considering the worked example as a type of plan for solving the equation. LP extracts the necessary information, and builds a plan which is stored for future use. LP executes the plan in a flexible way to solve new equations.
@inproceedings{ijcai1983p104,
title = {Learning Equation Solving Methods From Examples},
author = {Silver, Bernard},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {429--430},
year = {1983},
note = {Learning and Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1983/104},
}
TY - CPAPER TI - Learning Equation Solving Methods From Examples AU - Silver, Bernard T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 429 EP - 430 UR - https://ijcai.org/proceedings/1983/104 ER -Copied
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