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Collective behaviors emerging from chases and escapes
http://hdl.handle.net/2237/0002010890
http://hdl.handle.net/2237/0002010890864a9709-1f66-430f-8339-7f012db48609
| 名前 / ファイル | ライセンス | アクション |
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| アイテムタイプ | itemtype_ver1(1) | |||||||
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| 公開日 | 2024-05-27 | |||||||
| タイトル | ||||||||
| タイトル | Collective behaviors emerging from chases and escapes | |||||||
| 言語 | en | |||||||
| 著者 |
Ohira, Toru
× Ohira, Toru
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| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| 権利 | ||||||||
| 権利情報 | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10015-023-00928-1 | |||||||
| 言語 | en | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | “Chases and Escapes” is a classical mathematical problem. Recently, we proposed a simple extension, called “Group Chase and Escape,” where one group chases another. This extension bridges the traditional problem with the current interest in studying collective motion among animals, insects, and cars. In this presentation, I will introduce our fundamental model and explore its intricate emergent behaviors. In our model, each chaser approaches the nearest escapee, while each escapee moves away from its closest chaser. Interestingly, despite the absence of communication within each group, we observe the formation of aggregate patterns. Furthermore, the effectiveness of capture varies as we adjust the ratio of chasers to escapees, which can be attributed to a group effect. I will delve into how these behaviors manifest in relation to various parameters, such as densities. Moreover, we have explored different expansions of this basic model. First, we introduced fluctuations, where players now make errors in their step directions with a certain probability. We found that a moderate level of fluctuations improves the efficiency of catching. Second, we incorporated a delay in the chasers’ reactions to catch their targets. This distance-dependent reaction delay can lead to highly complex behaviors. Additionally, I will provide an overview of other groups’ extensions of the model and the latest developments in this field. | |||||||
| 言語 | en | |||||||
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| 出版者 | Springer | |||||||
| 言語 | en | |||||||
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| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||||
| タイプ | journal article | |||||||
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| 出版タイプ | AM | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||
| 関連情報 | ||||||||
| 関連タイプ | isVersionOf | |||||||
| 識別子タイプ | DOI | |||||||
| 関連識別子 | https://doi.org/10.1007/s10015-023-00928-1 | |||||||
| 収録物識別子 | ||||||||
| 収録物識別子タイプ | PISSN | |||||||
| 収録物識別子 | 1433-5298 | |||||||
| 書誌情報 |
en : Artificial Life and Robotics 巻 29, 号 1, p. 1-11, 発行日 2024-02 |
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| ファイル公開日 | ||||||||
| 日付 | 2025-02-01 | |||||||
| 日付タイプ | Available | |||||||