{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236004","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236004","title":["CNNとGRUを用いた将棋対局者における人間とAIの分類手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"0578c4a7-bf7a-4c5a-8840-7b348687c6f8"},"_deposit":{"id":"236004","pid":{"type":"depid","value":"236004","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CNNとGRUを用いた将棋対局者における人間とAIの分類手法","author_link":["644965","644966"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CNNとGRUを用いた将棋対局者における人間とAIの分類手法"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","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":"湘南工科大"},{"subitem_text_value":"湘南工科大"}]},"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/236004/files/IPSJ-Z86-6Q-01.pdf","label":"IPSJ-Z86-6Q-01.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6Q-01.pdf","filesize":[{"value":"209.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"fd80b207-c0f4-4203-a898-7bdc36bdabaa","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"渡部, 朔冶"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐々木, 智志"}],"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":"オンライン将棋では指し手一致率を用いてソフト指しを判別しているが，未知の将棋ソフト(AI)の判別が難しい．従来手法ではゲート付きRNN(GRU)を用いて棋譜データから人間同士の対局かAI同士の対局かどうかを分類した．しかし，棋譜データの前処理で時系列長が増えるため，学習に時間がかかる．また，ソフト指しの判別には対局者が人間かAIかどうかを分類する必要がある．本稿では従来手法にCNNを組み込み，棋譜データを圧縮して時系列長を減らし，学習時間を短縮する手法を提案する．また，棋譜データの入力方法を変更することで対局者を分類する．提案手法の有効性を確認するために数値実験を行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"322","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"321","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":236004,"updated":"2025-01-19T09:25:59.456403+00:00","links":{},"created":"2025-01-19T01:37:49.283367+00:00"}