Journal article
Subu Kandaswamy, Kenneth D. Forbus, D. Gentner
2014
2014
Semantic Scholar
Cite
Cite
APA
Click to copy
Kandaswamy, S., Forbus, K. D., & Gentner, D. (2014). of the Annual Meeting of the Cognitive Science Society Title Modeling Learning via Progressive Alignment using Interim Generalizations Permalink.
Chicago/Turabian
Click to copy
Kandaswamy, Subu, Kenneth D. Forbus, and D. Gentner. “Of the Annual Meeting of the Cognitive Science Society Title Modeling Learning via Progressive Alignment Using Interim Generalizations Permalink” (2014).
MLA
Click to copy
Kandaswamy, Subu, et al. Of the Annual Meeting of the Cognitive Science Society Title Modeling Learning via Progressive Alignment Using Interim Generalizations Permalink. 2014.
BibTeX Click to copy
@article{subu2014a,
title = {of the Annual Meeting of the Cognitive Science Society Title Modeling Learning via Progressive Alignment using Interim Generalizations Permalink},
year = {2014},
author = {Kandaswamy, Subu and Forbus, Kenneth D. and Gentner, D.}
}
Abstract
There is ample empirical evidence that children can sometimes learn during the course of even a few experimental trials. We propose that one mechanism for this is the use of analogical generalizations constructed in working memory, producing what we call interim generalizations. Prior research suggests that such generalizations can be constructed when there is high similarity between closely spaced items. This paper describes how structure-mapping simulations can be adapted to capture this phenomenon, using automatically encoded stimuli. It is an advance over prior models in that it automatically detects when rerepresentation should be tried and carries it out to improve its performance.
