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b10-1. 雑誌掲載論文 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/14758
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| タイトル: | Process Acceleration in the Iterated Learning Model with String Clipping |
| 著者: | Matoba, Ryuichi
Sudo, Hiroki
Nakamura, Makoto
Hagiwara, Shingo
Tojo, Satoshi |
| キーワード: | Language Acquisition
Iterated Learning Model
Clipping
Simulation |
| 発行日: | 2015 |
| 出版者: | International Academy Publishing |
| 誌名: | International Journal of Computer and Communication Engineering (IJCCE) |
| 巻: | 4 |
| 号: | 2 |
| 開始ページ: | 100 |
| 終了ページ: | 106 |
| DOI: | 10.17706/IJCCE.2015.V4.388 |
| 抄録: | 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 |
| 資料タイプ: | publisher |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 22001.pdf | | 1614Kb | Adobe PDF | 見る/開く |
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