---
title: "GARI: A Problem Solver That Plans How to Machine Mechanical Parts"
authors:
  - "Yannick Descotte"
  - "Jean-Claude Latombe"
doi: ""
url: "https://ijcai.org/proceedings/1981/147"
pdf: "https://ijcai.org/proceedings/1981/0147.pdf"
venue: "Proceedings of the Seventh International Joint Conference on Artificial Intelligence"
year: 1981
pages: "766-771"
track: "Robotics"
keywords:
---

# GARI: A Problem Solver That Plans How to Machine Mechanical Parts

Yannick Descotte, Jean-Claude Latombe

*Proceedings of the Seventh International Joint Conference on Artificial Intelligence*, pages 766-771.

## 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 GAR! 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.