A Theory of Mapping from Structure to Function Applied to Engineering Thermodynamics
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Qualitative Reasoning and Diagnosis. Pages 1837-1845.
Abstract
This paper presents a theoretical framework for mapping from structure to function in engineering domains. We argue that a generative approach grounded in Qualitative Process Theory produces useful functional explanations. These explanations are articulate, in that they enable the user to explore their theoretical justifications and perform counterfactual reasoning. These explanations stem from a teleological representation based on goals, plans, roles, and views. We show that an ontology based on aggregated processes facilitates the recognition of recurring thermodynamic structures. We describe an implementation of this theory, a system called CARNOT that explains steady-flow thermodynamic cycles ranging in complexity from four to 24 components.
@inproceedings{ijcai1995p236,
title = {A Theory of Mapping from Structure to Function Applied to Engineering Thermodynamics},
author = {Everett, John O.},
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 = {1837--1845},
year = {1995},
note = {Qualitative Reasoning and Diagnosis},
url = {https://ijcai.org/proceedings/1995/236},
}
TY - CPAPER TI - A Theory of Mapping from Structure to Function Applied to Engineering Thermodynamics AU - Everett, John O. T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1837 EP - 1845 UR - https://ijcai.org/proceedings/1995/236 ER -Copied
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