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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/10119/14226
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| タイトル: | Application of Loose Symmetry Bias to Multiple Meaning Environment |
| 著者: | Matoba, Ryuichi
Sudo, Hiroki
Nakamura, Makoto
Tojo, Satoshi |
| キーワード: | Language Acquisition
Iterated Learning Model |
| 発行日: | 2015-03-22 |
| 出版者: | IARIA |
| 誌名: | COGNITIVE 2015, The Seventh International Conference on Advanced Cognitive Technologies and Applications |
| 開始ページ: | 62 |
| 終了ページ: | 65 |
| 抄録: | It is well known that the cognitive biases much accelerate the vocabulary learning. In addition, other works suggest that cognitive biases help to acquire grammar rules faster. The efficacy of the cognitive biases enables infants to connect an utterance to its meaning; even a single uttered situation contains many possible meanings. In this study, we focus on the symmetry bias which is one of the cognitive biases. The aim of this study is to evaluate the efficacy of the symmetry bias in the multiple meaning environment. In the experiments, two symmetry bias patters are utilized to evaluate the developed Meaning Selection Iterated Learning Model. The patterns are strict/loose symmetry bias with distance in languages and expressivity. |
| Rights: | Copyright (C) 2015 IARIA. Ryuichi Matoba, Hiroki Sudo, Makoto Nakamura, Satoshi Tojo, COGNITIVE 2015, The Seventh International Conference on Advanced Cognitive Technologies and Applications, 2015, 62-65. |
| URI: | http://hdl.handle.net/10119/14226 |
| 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:
| ファイル |
記述 |
サイズ | 形式 |
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| 22005.pdf | | 824Kb | Adobe PDF | 見る/開く |
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