GARI: A Problem Solver That Plans How to Machine Mechanical Parts
Abstract
In this paper, we describe a plan generator for planning the sequence of machining cuts of mechanical parts. This system, named GARI, makes use of weighted pieces of advice representing the expertise of human specialists. The complexity of the application domain guided us toward the implementation of a rather sophisticated control structure including hypothesis generation, fact deduction, and conflict resolution. Experiments with GARI suggest that more research effort should be devoted to abstract representation of control as opposed to the exhaustive representations defended by several authors during the last few years.
Cite
Text
Descotte and Latombe. "GARI: A Problem Solver That Plans How to Machine Mechanical Parts." International Joint Conference on Artificial Intelligence, 1981.Markdown
[Descotte and Latombe. "GARI: A Problem Solver That Plans How to Machine Mechanical Parts." International Joint Conference on Artificial Intelligence, 1981.](https://mlanthology.org/ijcai/1981/descotte1981ijcai-gari/)BibTeX
@inproceedings{descotte1981ijcai-gari,
title = {{GARI: A Problem Solver That Plans How to Machine Mechanical Parts}},
author = {Descotte, Yannick and Latombe, Jean-Claude},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1981},
pages = {766-772},
url = {https://mlanthology.org/ijcai/1981/descotte1981ijcai-gari/}
}