A computational characterization of domain-based causal reasoning development in children

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.

Bibliographic Details
Main Author: Aronoff, Caroline Bradley
Other Authors: Patrick H. Winston.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2018
Subjects:
Online Access:http://hdl.handle.net/1721.1/119744
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author Aronoff, Caroline Bradley
author2 Patrick H. Winston.
author_facet Patrick H. Winston.
Aronoff, Caroline Bradley
author_sort Aronoff, Caroline Bradley
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description Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.
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spelling mit-1721.1/1197442019-04-10T09:23:03Z A computational characterization of domain-based causal reasoning development in children Aronoff, Caroline Bradley Patrick H. Winston. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 71-72). To better understand human intelligence, we must first understand how humans use and learn from stories. One important aspect of how humans learn from stories is our ability to reason about cause and eect. Psychological evidence suggests that when children develop the ability to learn cause-and-eect relationships from stories, they do so in discrete stages where each new stage enables the child to incorporate new kinds of information. In this thesis, I attempt to shed light on the mechanisms that underlie the development of causal reasoning in children. I create a behavior-level model, an explanatory theory, and an explanation-level model that account for the developmental stages. I implement these models on top of the Genesis Story Understanding System. The result is a psychologically plausible explanation-level model that captures the observed causal reasoning behaviors of children at dierent stages of developments. The model also takes the observations from psychological evidence to another level by proposing mechanisms that enable such development in children. by Caroline Bradley Aronoff. M. Eng. 2018-12-18T19:48:12Z 2018-12-18T19:48:12Z 2018 2018 Thesis http://hdl.handle.net/1721.1/119744 1078689991 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 72 pages application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Aronoff, Caroline Bradley
A computational characterization of domain-based causal reasoning development in children
title A computational characterization of domain-based causal reasoning development in children
title_full A computational characterization of domain-based causal reasoning development in children
title_fullStr A computational characterization of domain-based causal reasoning development in children
title_full_unstemmed A computational characterization of domain-based causal reasoning development in children
title_short A computational characterization of domain-based causal reasoning development in children
title_sort computational characterization of domain based causal reasoning development in children
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/119744
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