{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00238514","sets":["1164:5305:11555:11746"]},"path":["11746"],"owner":"44499","recid":"238514","title":["囲碁対局における推定勝率のキャリブレーション：KataGoの勝率8割は人間なら何割か"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-08-30"},"_buckets":{"deposit":"ec84d980-f51a-4ca8-8320-15eb8de857f3"},"_deposit":{"id":"238514","pid":{"type":"depid","value":"238514","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"囲碁対局における推定勝率のキャリブレーション：KataGoの勝率8割は人間なら何割か","author_link":["653139"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"囲碁対局における推定勝率のキャリブレーション：KataGoの勝率8割は人間なら何割か"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"将棋・囲碁","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-08-30","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"亜細亜大学経営学部データサイエンス学科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Department of Data Science, Faculty of Business Administration, Asia University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/238514/files/IPSJ-GI24053004.pdf","label":"IPSJ-GI24053004.pdf"},"date":[{"dateType":"Available","dateValue":"2026-08-30"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GI24053004.pdf","filesize":[{"value":"2.4 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"18"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"74c238fa-52b3-4c75-a493-e2927de81a65","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"平岡, 和幸"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11362144","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8736","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"AI を参照しながらの囲碁観戦が近年普及している．しかし，AI が出力する推定勝率は AI どうしの自己対局にもとづくものが一般的である．人間どうしではまだまだ勝負の余地があるにも関わらずほぼ結着がついたかのような数字を提示することは，観戦者の興醒めを誘ってしまう．これを避けるべく，AI の出力を補正して人間どうしの対局に見合った勝率を推定することが，本研究の主題である．推定勝率に温度スケーリングを施すこと，および，ownership エントロピーを用いて補正の度合を決定することによって，先行研究よりも実戦の勝敗に合致した勝率推定が得られた．また，実用性を意図した貢献として，ニューラルネット等のライブラリを要せず実装しやすい簡略版の補正公式も作成した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ゲーム情報学（GI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-08-30","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicVolumeNumber":"2024-GI-53"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":238514,"updated":"2025-01-19T08:32:38.887886+00:00","links":{},"created":"2025-01-19T01:41:47.428418+00:00"}