Coherence of Laws
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1400-1400.
Abstract
The core of scientific theories are laws . These Jaws often make use of theoretical terms, linguistic entities which do not directly refer to observables. There is therefore no direct way of determining which theoretical assertions are true. This suggests that multiple theories may exist which are incompatible with each other but compatible with all possible observations. Since such theories make the same empirical claims, empirical tests cannot be used to differentiate or rank such theories. One property that has been suggested for evaluating rival theories is coherence. This was only understood qualitatively until we [Kwok, et.al. 98] introduced a coherence measure based on the average use of formulas in support sets for observations. The idea was to identify highly coherent theories with those whose formulas that are tightly coupled to account for observations, while low coherence theories contain many disjointed and isolated statements. Our current approach generalizes that insight to accommodate fundamental ideas from the philosophy of science and better mirrors scientific practice. Moreover, this new approach is neutral with respect to the philosophy and practice of science, and is able to explain notions like modularization using coherence.
@inproceedings{ijcai2003p214,
title = {Coherence of Laws},
author = {Kwok, Rex Bing Hung and Foo, Norman Y. and Nayak, Abhaya C.},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1400--1400},
year = {2003},
url = {https://ijcai.org/proceedings/2003/214},
}
TY - CPAPER TI - Coherence of Laws AU - Kwok, Rex Bing Hung AU - Foo, Norman Y. AU - Nayak, Abhaya C. T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1400 EP - 1400 UR - https://ijcai.org/proceedings/2003/214 ER -Copied
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