@inproceedings{b3ec1a40c8484835a346983cd22ce68a,
title = "A Computational Model of Acquisition for Children's Addition Strategies",
abstract = "GIPS is a problem-solving system that models the strategy shifts of children learning to add. The system uses a generalized form of means-ends analysis as its reasoning algorithm, and it learns probabilistic selection and execution concepts for its operators. With this combination, GIPS models the {"}SUM-to-MIN{"} transition that children exhibit when learning to add (Siegler & Jenkins, 1989). The system generates the appropriate final strategy, as well as the intermediate strategies that Siegler and Jenkins observed.",
author = "Jones, {Randolph M.} and Kurt Vanlehn",
note = "Funding Information: This research benefited from discussions with Bob Siegler and Jeff Schlimmer. It was supported in part by contract N00014-88-K-0080 from the Office of Naval Research, Cognitive Sciences Division, and a postdoctoral training grant from the Department of Health and Human Services. Publisher Copyright: {\textcopyright} ICML 1989.All rights reserved; 8th International Workshop on Machine Learning, ICML 1991 ; Conference date: 01-06-1991",
year = "1991",
doi = "10.1016/B978-1-55860-200-7.50017-9",
language = "English (US)",
series = "Proceedings of the 8th International Workshop on Machine Learning, ICML 1991",
publisher = "Morgan Kaufmann Publishers, Inc.",
pages = "65--69",
editor = "Birnbaum, {Lawrence A.} and Collins, {Gregg C.}",
booktitle = "Proceedings of the 8th International Workshop on Machine Learning, ICML 1991",
address = "United States",
}