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論文名稱 Title |
以生物系統為基礎的情緒計算模型 A Computational Model of Emotion Based on Biosystem |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
46 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2013-06-28 |
繳交日期 Date of Submission |
2014-09-11 |
關鍵字 Keywords |
計算化、情緒、強化式學習、古典制約、類神經網路 reinforcement learning, classical conditioning, emotion, computational, artificial neural network |
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統計 Statistics |
本論文已被瀏覽 5840 次,被下載 0 次 The thesis/dissertation has been browsed 5840 times, has been downloaded 0 times. |
中文摘要 |
近年來,隨著機器人工業的發展,機器人開始出現在各式不同的任務中,尤 其是和人有密切的接觸的任務,這些任務需要因應不同的情境與社會規範,給予 使用者不同的回饋,例如接待型機器人、娛樂型機器人或是寵物機器人等,這類 的機器人除了外表愈來愈加擬人化外,也加入了許多心智狀態的設計,例如前幾 年 Sony 出的寵物狗'AIBO',除了可愛的外表與動作外,還放入了情緒的機制,讓 使用者在與其互動上感到更為親切有趣。因此本研究的目標是透過生物機制的計 算化,將情緒系統做的更加擬人,期望可以和使用者達成親密的互動。本研究最 後透過了兩種情境實驗測試,成功的學習出刺激與獎勵的對應,並且產生出對應 的情緒。 |
Abstract |
Robots began to appear in a variety of different tasks with the development of robot industrial in recent years, in particular the tasks have close contact with people. These tasks require in response to different situations and social norms to give users different feedback, such as reception robots, entertainment robots or pet robots. Some of the tasks requires responses to people in different situations, in particular the task which has close relationship with people. These robots in addition to having more anthropomorphic appearance, but also added a lot of the mental state of the design. For example, Sony had developed the pet dog 'AIBO' a few years ago. In addition to the lovely appearance and actions, it also has the emotion mechanisms which allow users feel interesting to interact. Therefore, the goal of this study is using computational biological mechanisms to build an more anthropomorphic emotion system. Finally, this study has two situations of experiment. The system has success in learning the relation between stimulations and rewards, and generating the corresponding emotion. |
目次 Table of Contents |
論文審定書 ....................................................................................................................... i 中文摘要 .......................................................................................................................... ii 英文摘要 ......................................................................................................................... iii 第一章 序論 .................................................................................................................... 1 1.1 研究背景 ........................................................................................................... 1 1.2 研究動機與目的 ............................................................................................... 2 第二章 文獻探討 ............................................................................................................ 3 2.1 情緒 ................................................................................................................... 3 2.2 神經調節系統 ................................................................................................. 10 2.3 制約學習 .......................................................................................................... 13 2.4 強化式學習 ...................................................................................................... 14 第三章 研究方法 .......................................................................................................... 16 3.1 系統架構 ......................................................................................................... 16 3.2 系統參數 ......................................................................................................... 28 第四章 實驗與結果分析 .............................................................................................. 31 4.1 實驗設計 .......................................................................................................... 31 4.2 實驗情境 .......................................................................................................... 31 4.3 實驗結果與評估 .............................................................................................. 32 第五章 結論 .................................................................................................................. 36 5.1 研究結果 .......................................................................................................... 36 5.2 未來研究 .......................................................................................................... 36 參考文獻 ........................................................................................................................ 38 |
參考文獻 References |
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