Numerical Interval Simulation: Combined Qualitative and Quantitative Simulation to Bound Behaviors of Non-Monotonic Systems
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1806-1812.
Abstract
Models of complex physical systems often cannot be defined precisely, either because of lack of knowledge or because the system parameters change over time according to unknown phenomena. Such systems can be represented by semi-quantitative models that combine both qualitative and quantitative knowledge. This paper presents Numerical Interval Simulation, a method that can produce tight predictions of systems involving nonmonotonic functions. We present a successful application of NIS to predict the behavior of a complex process at a Brazilian-Japanese steel company. We claim that such capability of simulating nonmonotonic functions is fundamental in order to handle real-world complex industrial processes.
@inproceedings{ijcai1995p232,
title = {Numerical Interval Simulation: Combined Qualitative and Quantitative Simulation to Bound Behaviors of Non-Monotonic Systems},
author = {Vescovi, Marcos and Farquhar, Adam and Iwasaki, Yumi},
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 = {1806--1812},
year = {1995},
note = {Qualitative Reasoning and Diagnosis},
url = {https://ijcai.org/proceedings/1995/232},
}
TY - CPAPER TI - Numerical Interval Simulation: Combined Qualitative and Quantitative Simulation to Bound Behaviors of Non-Monotonic Systems AU - Vescovi, Marcos AU - Farquhar, Adam AU - Iwasaki, Yumi T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1806 EP - 1812 UR - https://ijcai.org/proceedings/1995/232 ER -Copied
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