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Generation of Evaluation Function for Lige-time Learning of An Intelligent Robot
https://kyotogakuen.repo.nii.ac.jp/records/867
https://kyotogakuen.repo.nii.ac.jp/records/8677b5db73a-7e0a-44c4-b425-0a882baacf50
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
15-1-hashimoto (356.7 kB)
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| アイテムタイプ | [ELS]紀要論文 / Departmental Bulletin Paper(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2016-08-09 | |||||
| タイトル | ||||||
| タイトル | Generation of Evaluation Function for Lige-time Learning of An Intelligent Robot | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Behavior lerning | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Evaluation function | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Genetic programming | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Evolutionary computation | |||||
| キーワード | ||||||
| 言語 | en | |||||
| 主題Scheme | Other | |||||
| 主題 | Intelligent robot | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | departmental bulletin paper | |||||
| 雑誌書誌ID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AN10373395 | |||||
| 論文名よみ | ||||||
| タイトル | Generation of Evaluation Function for Lige-time Learning of An Intelligent Robot | |||||
| 著者 |
橋本, 節雄
× 橋本, 節雄× Kojima, Fumio× Kubota, Naoyuki |
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| 著者所属(英) | ||||||
| en | ||||||
| Faculty of Economics, Kyoto Gakuen University | ||||||
| 著者所属(英) | ||||||
| en | ||||||
| Dept. of Mechanical and Systems Engineering, Kobe University | ||||||
| 著者所属(英) | ||||||
| en | ||||||
| Dept. of System Design, Tokyo Metropolitan University | ||||||
| 記事種別(日) | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 論文 | |||||
| 記事種別(英) | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | Article | |||||
| 抄録(英) | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | This paper deals with a mobile robot with structured intelligence. The robot interacts with a dynamic environment. The evaluation criteria or functions are the strategy for the behavior acquisition. Generally, it is difficult for human operators to describe internal models of the robot because the organization of the robot is quite different from that of a human. In the optimization, the evaluation function is generally given by human operators beforehand. It is easy to give the evaluation functions if the environmental condition is easy and fixed. But the robot must interact with dynamic, uncertain and unknown environments or human operators. Therefore, the robot should generate the evaluation criteria by itself based on its embodiment. A human improves its behavior by using and changing its evaluation criteria as adaptive processes. The robot also has to acquire their evaluation criteria through life-time learning. Therefore, we apply genetic programming (GP) for generating evaluation functions. The result of computer simulation shows that GP can generate the evaluation function suitable to the facing environments, the given tasks, and the robot. | |||||
| 書誌情報 | 巻 15, 号 1, p. 33-42, 発行日 2005-07-01 | |||||
| 表示順 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 3 | |||||
| アクセション番号 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | KJ00004981720 | |||||
