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http://hdl.handle.net/10119/14758
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| Title: | Process Acceleration in the Iterated Learning Model with String Clipping |
| Authors: | Matoba, Ryuichi
Sudo, Hiroki
Nakamura, Makoto
Hagiwara, Shingo
Tojo, Satoshi |
| Keywords: | Language Acquisition
Iterated Learning Model
Clipping
Simulation |
| Issue Date: | 2015 |
| Publisher: | International Academy Publishing |
| Magazine name: | International Journal of Computer and Communication Engineering (IJCCE) |
| Volume: | 4 |
| Number: | 2 |
| Start page: | 100 |
| End page: | 106 |
| DOI: | 10.17706/IJCCE.2015.V4.388 |
| Abstract: | In evolutionary linguistics, the Iterated Learning Model (ILM) is often used for simulating a first language acquisition. Whereas an infant agent acquires a grammar through communication with his/her parent in ILM, the length of syntax rules tends to increase rapidly over generations due to the addition of symbols of meaningless terminal symbols. In the case learning agents potentially have more than one teacher agent, this problem causes an unnatural learning, which results in a combinatorial explosion. In this paper, we propose a learning method in ILM to solve the problem by string clipping. Our experimental result showed that the length of utterances decreases without potential influence in intergenerational language propagation. |
| Rights: | This material is posted here with permission of International Academy Publishing. Copyright (C) 2015 International Academy Publishing. Ryuichi Matoba, Hiroki Sudo, Makoto Nakamura, Shingo Hagiwara, and Satoshi Tojo, International Journal of Computer and Communication Engineering (IJCCE), 4(2), 2015, 100-106. http://dx.doi.org/10.17706/IJCCE.2015.V4.388 |
| URI: | http://hdl.handle.net/10119/14758 |
| Material Type: | publisher |
| Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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