Building a trajectory syntax through language evolution
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28433 |
| _version_ | 1826196190562091008 |
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| author | Kim, Anthony Hahn, 1980- |
| author2 | Patrick H. Winston. |
| author_facet | Patrick H. Winston. Kim, Anthony Hahn, 1980- |
| author_sort | Kim, Anthony Hahn, 1980- |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T10:22:57Z |
| format | Thesis |
| id | mit-1721.1/28433 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:22:57Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/284332019-04-11T13:55:55Z Building a trajectory syntax through language evolution Kim, Anthony Hahn, 1980- Patrick H. Winston. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (leaves 81-82). If we are to understand the innately human ability to solve complex problems, we must first understand the cognitive processes that allow us to combine different kinds of knowledge, to learn new things and to communicate with other people. I have built a computer simulation, based on the work of Simon Kirby, in which I show that a population of induction agents, capable of perceiving their environment and producing utterances, can develop a compositional grammar to describe the world they observe with no prior linguistic knowledge. This system expands the semantic domain proposed by Kirby which expressed meanings such as "John knows Pete" to a physical world of trajectories such as "The boy ran from the tree to the pole". In this new simulation, I demonstrate that a compositional syntax still develops if the level of semantic complexity increases over time. I then argue that using multiple representations decreases the time necessary for a compositional grammar to emerge. by Anthony Hahn Kim. M.Eng. 2005-09-26T20:25:11Z 2005-09-26T20:25:11Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28433 56994056 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 82 leaves 3357365 bytes 3366134 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Kim, Anthony Hahn, 1980- Building a trajectory syntax through language evolution |
| title | Building a trajectory syntax through language evolution |
| title_full | Building a trajectory syntax through language evolution |
| title_fullStr | Building a trajectory syntax through language evolution |
| title_full_unstemmed | Building a trajectory syntax through language evolution |
| title_short | Building a trajectory syntax through language evolution |
| title_sort | building a trajectory syntax through language evolution |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/28433 |
| work_keys_str_mv | AT kimanthonyhahn1980 buildingatrajectorysyntaxthroughlanguageevolution |