{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229702","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229702","title":["Multiple Timescales RNNを用いた敵対的模倣学習による時系列の複雑化と構造化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"a02176fc-fe5a-4257-9e08-92913978b863"},"_deposit":{"id":"229702","pid":{"type":"depid","value":"229702","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"Multiple Timescales RNNを用いた敵対的模倣学習による時系列の複雑化と構造化","author_link":["617871","617873","617874","617872"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Multiple Timescales RNNを用いた敵対的模倣学習による時系列の複雑化と構造化"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北大"},{"subitem_text_value":"北大"},{"subitem_text_value":"北大"},{"subitem_text_value":"北大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/229702/files/IPSJ-Z85-2M-02.pdf","label":"IPSJ-Z85-2M-02.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-2M-02.pdf","filesize":[{"value":"504.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"78b53221-fb90-4907-b8ce-39352197f3be","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"佐々木, 太樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"野口, 渉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"飯塚, 博幸"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山本, 雅人"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"鳥のさえずりは自然界における複雑で階層的構造を持った時系列として知られ，時系列の複雑性が生じる過程では敵対的模倣と呼ばれる個体間の競争が複雑化を促進することがシミュレーション研究により示されている．本研究では，敵対的模倣の中で複雑かつ階層的構造を持った時系列が生じる過程のモデル化を試みる．特に階層的構造の生じる要因が時系列生成を担う神経回路網の階層性にあるとの仮説のもと，複数の時間発展タイムスケールを伴う階層的構造を持つMultiple Timescales RNNにより敵対的模倣学習を行う．提案モデルによる敵対的模倣学習の結果，時系列の複雑性が増加しつつも階層的構造が現れることを示した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"350","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"349","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":229702,"updated":"2025-01-19T11:27:14.633374+00:00","links":{},"created":"2025-01-19T01:29:01.091281+00:00"}