Experiments with a Network-Based Geometric Reasoning Engine
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Vision and Robotics. Pages 1623-1627.
Abstract
Fisher and Orr (1988) described a geometric reasoning engine based on a value passing constraint network. This paper reports on more recent results from this research: several experiments on detecting inconsistency between constraints, how to bind degrees of freedom in a revolute joint, some results on propagation of error in the networks, and performance on a large three dimensional reasoning problem involving three revolute joints.
Robert B. Fisher, and Mark J. L. Orr. 1989. Experiments with a Network-Based Geometric Reasoning Engine. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89. IJCAI, 1623–1627. https://ijcai.org/proceedings/1989/258
Fisher, R. B., & Orr, M. J. L. (1989). Experiments with a Network-Based Geometric Reasoning Engine. In Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 (pp. 1623–1627). IJCAI. https://ijcai.org/proceedings/1989/258
@inproceedings{ijcai1989p258,
title = {Experiments with a Network-Based Geometric Reasoning Engine},
author = {Fisher, Robert B. and Orr, Mark J. L.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {1623--1627},
year = {1989},
month = {8},
note = {Vision and Robotics},
url = {https://ijcai.org/proceedings/1989/258},
}
TY - CPAPER TI - Experiments with a Network-Based Geometric Reasoning Engine AU - Fisher, Robert B. AU - Orr, Mark J. L. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 1623 EP - 1627 UR - https://ijcai.org/proceedings/1989/258 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: