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Abstract: The ability to learn a model of a system from observations and background knowledge is central to intelligence. The automation of this process is a key research goal of Arti cial Intelligence. We present a modellearning system developed for application to scienti c discovery problems, where the models are scienti c hypotheses, and the observations are experiments. (Update)
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BibTeX entry: (Update)
@misc{ garrett-learning,
author = "Simon M. Garrett and George M. Coghill and Ross D. King",
title = "Learning Qualitative Models for Application to Scientific Discovery",
url = "citeseer.ist.psu.edu/garrett01learning.html" }
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