AI Planning Versus Manufacturing-Operation Planning: A Case Study
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Planning. Pages 1670-1675.
Abstract
Although AI planning techniques can potentially be useful in several manufacturing domains, this potential remains largely unrealized. In order to adapt AI planning techniques to manufacturing, it is important to develop more realistic and robust ways to address issues important to manufacturing engineers. Furthermore, by investigating such issues, AI researchers may be able to discover principles that are relevant for AI planning in general. As an example, in this paper we describe the techniques for manufacturing-operation planning used in IMACS (Interactive Manufacturability Analysis and Critiquing System), and compare and contrast them with the techniques used in classical AI planning systems. We describe how one of IMACS's planning techniques may be useful for AI planning in general-and as an exa mple, we describe how it helps to explain a puzzling complexity result in AI planning.
@inproceedings{ijcai1995p215,
title = {AI Planning Versus Manufacturing-Operation Planning: A Case Study},
author = {Nau, Dana S. and Gupta, Satyandra K. and Regli, William C.},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1670--1675},
year = {1995},
note = {Planning},
url = {https://ijcai.org/proceedings/1995/215},
}
TY - CPAPER TI - AI Planning Versus Manufacturing-Operation Planning: A Case Study AU - Nau, Dana S. AU - Gupta, Satyandra K. AU - Regli, William C. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1670 EP - 1675 UR - https://ijcai.org/proceedings/1995/215 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: