Estimation of Hierarchical Emotion in Mental State Transition Learning Network
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
35-40 頁
2009-11 発行
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00028426
| ファイル情報(添付) | |
| タイトル ( eng ) |
Estimation of Hierarchical Emotion in Mental State Transition Learning Network
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| 作成者 |
Ichimura Takumi
Mera Kazuya
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| 収録物名 |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
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| 開始ページ | 35 |
| 終了ページ | 40 |
| 抄録 |
In general, emotions are often appeared in the facial expressions, voice pitch, exaggerated gesticulation, and so on. They are outward signals of emotions, internal world in order to serve for human communications. Perlovsky described on aesthetic emotions and analyzed their role within joint functioning of cognition and language. This paper proposes the different method from his idea. The method uses Mental State Transition Network proposed by Ren and Emotion Generation Calculations. Moreover, the transition costs in the network are modified according to the stimulus from external world. The simulation results also are reported.
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| NDC分類 |
技術・工学 [ 500 ]
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| 言語 |
英語
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| 資源タイプ | 会議発表論文 |
| 出版者 |
IEEE SMC Hiroshima Chapter
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| 発行日 | 2009-11 |
| 権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| 出版タイプ | Version of Record（出版社版。早期公開を含む） |
| アクセス権 | オープンアクセス |
| 収録物識別子 |
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/
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