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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00241038</identifier>
        <datestamp>2025-01-19T07:45:47Z</datestamp>
        <setSpec>1164:2592:11452:11789</setSpec>
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          <dc:title>群行動モデルのパラメータが異種魚群の振る舞いに及ぼす影響の評価</dc:title>
          <dc:title>Evaluation of Impact of Parameter Variability in Schooling Models on Behavior of Heterogeneous Fish Schools</dc:title>
          <dc:creator>指江, 愛理</dc:creator>
          <dc:creator>小蔵, 正輝</dc:creator>
          <dc:creator>Airi, Sashie</dc:creator>
          <dc:creator>Masaki, Ogura</dc:creator>
          <dc:description>定置網漁業は複数種類の魚が捕獲される漁業であり，目的以外の魚は手作業などで分別され，放流される．定置網の漁獲効率を上げるためのシミュレーション研究が行われている．ほとんどの研究で魚群モデルは 1 種類の魚を対象にしているが，実際の定置網内には複数種類の魚が存在する．現在，介入がない状態の網における複数種類の魚の振る舞いに対する理解は不十分である．本研究は，直方体の網内で 2 種の魚が混合した群れの行動をシミュレーションを用いて解析，評価した．魚の泳ぐ能力と他の魚に反応する範囲に差がある混合魚群は自然に分離するが，他の魚と網への反応の大きさのみが異なる魚の場合同種のみの魚群と同様に自然に分離しないことが分かった．</dc:description>
          <dc:description>Set-net ﬁshing is a type of ﬁshery that captures multiple types of ﬁsh, where non-target species are sorted manually or otherwise and then released. Simulation studies are being conducted to improve the eﬃciency of set-net ﬁshing. Most of these studies focus on modeling a single species of ﬁsh; however, in reality, multiple species coexist within the set-net. Currently, our understanding of how multiple species of ﬁsh behave in an unaltered ﬁshing net is insuﬃcient. This study analyzed and evaluated the behavior of mixed schools of two ﬁsh species in a rectangular net using simulations. It was found that mixed ﬁsh schools, where the species diﬀer in swimming ability and the range of response to other ﬁsh, naturally separate. However, when the species diﬀer only in their response to the net and to other ﬁsh, they do not naturally separate, behaving similarly to single-species schools.</dc:description>
          <dc:description>technical report</dc:description>
          <dc:publisher>情報処理学会</dc:publisher>
          <dc:date>2024-11-19</dc:date>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>研究報告アルゴリズム（AL）</dc:identifier>
          <dc:identifier>22</dc:identifier>
          <dc:identifier>2024-AL-200</dc:identifier>
          <dc:identifier>1</dc:identifier>
          <dc:identifier>6</dc:identifier>
          <dc:identifier>2188-8566</dc:identifier>
          <dc:identifier>AN1009593X</dc:identifier>
          <dc:identifier>https://ipsj.ixsq.nii.ac.jp/record/241038/files/IPSJ-AL24200022.pdf</dc:identifier>
          <dc:language>jpn</dc:language>
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