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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/10119/14225
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| タイトル: | Simulation of the Emergence of Language Groups Using the Iterated Learning Model on Social Networks |
| 著者: | Nakamura, Makoto
Matoba, Ryuichi
Tojo, Satoshi |
| キーワード: | Language Acquisition
Iterated Learning Model
Social Network |
| 発行日: | 2015 |
| 出版者: | IARIA |
| 誌名: | COGNITIVE 2015 : The Seventh International Conference on Advanced Cognitive Technologies and Applications |
| 開始ページ: | 175 |
| 終了ページ: | 180 |
| 抄録: | In evolutionary linguistics, the Iterated Learning Model (ILM) is often used for simulating the first language acquisition. Our purpose in this paper is to develop an agent-based model for language contact based on ILM. We put a learning agent on each node in the social network. Our experimental result showed that the language exposure rather deteriorates the emergence of local common languages, and grammars become non-compositional, which is different from our expectation. However, we have shown that an excessive string-clipping as well as a language exposure may constrain the appearance of local language community, independent of the shape of networks. |
| Rights: | Copyright (C) 2015 IARIA. Makoto Nakamura, Ryuichi Matoba, Satoshi Tojo, COGNITIVE 2015 : The Seventh International Conference on Advanced Cognitive Technologies and Applications, 2015, 175-180. |
| URI: | http://hdl.handle.net/10119/14225 |
| 資料タイプ: | publisher |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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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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| 22004.pdf | | 803Kb | Adobe PDF | 見る/開く |
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