On the representation and learning of concepts : programs, types, and bayes
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2019
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| Online Access: | https://hdl.handle.net/1721.1/121632 |
| _version_ | 1826189907102531584 |
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| author | Morales, Lucas Eduardo. |
| author2 | Joshua B. Tenenbaum. |
| author_facet | Joshua B. Tenenbaum. Morales, Lucas Eduardo. |
| author_sort | Morales, Lucas Eduardo. |
| collection | MIT |
| description | This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. |
| first_indexed | 2024-09-23T08:28:54Z |
| format | Thesis |
| id | mit-1721.1/121632 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:28:54Z |
| publishDate | 2019 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1216322019-08-02T03:01:03Z On the representation and learning of concepts : programs, types, and bayes Morales, Lucas Eduardo. Joshua B. Tenenbaum. 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. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018 Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 133-145). This thesis develops computational models of cognition with a focus on concept representation and learning. We start with brief philosophical discourse accompanied by empirical findings and theories from developmental science. We review many formal foundations of computation as well as modern approaches to the problem of program induction - the learning of structure within those representations. We show our own research on program induction focused on its application for language bootstrapping. We then demonstrate our approach for augmenting a class of machine learning algorithms to enable domain-general learning by applying it to a program induction algorithm. Finally, we present our own computational account of concepts and cognition. by Lucas Eduardo Morales. M. Eng. M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science 2019-07-15T20:29:35Z 2019-07-15T20:29:35Z 2018 2018 Thesis https://hdl.handle.net/1721.1/121632 1098177598 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 145 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Morales, Lucas Eduardo. On the representation and learning of concepts : programs, types, and bayes |
| title | On the representation and learning of concepts : programs, types, and bayes |
| title_full | On the representation and learning of concepts : programs, types, and bayes |
| title_fullStr | On the representation and learning of concepts : programs, types, and bayes |
| title_full_unstemmed | On the representation and learning of concepts : programs, types, and bayes |
| title_short | On the representation and learning of concepts : programs, types, and bayes |
| title_sort | on the representation and learning of concepts programs types and bayes |
| topic | Electrical Engineering and Computer Science. |
| url | https://hdl.handle.net/1721.1/121632 |
| work_keys_str_mv | AT moraleslucaseduardo ontherepresentationandlearningofconceptsprogramstypesandbayes |