{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00216899","sets":["1164:4402:10858:10880"]},"path":["10880"],"owner":"44499","recid":"216899","title":["MCCFRアルゴリズムによる5人人狼ゲームの戦略の学習"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-03-03"},"_buckets":{"deposit":"21994014-8c02-4448-9502-8935df635ba5"},"_deposit":{"id":"216899","pid":{"type":"depid","value":"216899","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"MCCFRアルゴリズムによる5人人狼ゲームの戦略の学習","author_link":["560860","560861","560859","560858"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MCCFRアルゴリズムによる5人人狼ゲームの戦略の学習"},{"subitem_title":"Learning Strategy by MCCFR Algorithm for the 5-Player Werewolf Game","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"セッション1","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2022-03-03","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"愛知工業大学大学院"},{"subitem_text_value":"愛知工業大学大学院"},{"subitem_text_value":"愛知大学"},{"subitem_text_value":"愛知工業大学大学院"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Aichi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Aichi Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Aichi University","subitem_text_language":"en"},{"subitem_text_value":"Aichi Institute of Technology","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/216899/files/IPSJ-ICS22206006.pdf","label":"IPSJ-ICS22206006.pdf"},"date":[{"dateType":"Available","dateValue":"2024-03-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS22206006.pdf","filesize":[{"value":"1.1 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":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"df814867-6d03-4f9a-ba9c-3aa6f18435e3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小島, 大征"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 暢浩"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩田, 員典"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内種, 岳詞"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","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":"2188-885X","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年，多人数不完全情報ゲームの研究に注目が集まっている．本研究では，多人数不完全情報ゲームである 5 人人狼ゲームに対して，他の不完全情報ゲームで有効とされている Monte Carlo CFR アルゴリズムを適用し，その有効性について検討する．MCCFR を適用するために簡易化した 5 人人狼ゲームを構築し戦略を学習する．有効性の評価のために多様なエージェントとの対戦をおこなった結果，勝率を向上させる戦略を学習できることを示した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In recent years, the study of multi-player imperfect information games has attracted much attention. In this paper, we examine the effectiveness of the Monte Carlo CFR (MCCFR) algorithm, a method for calculating strategies of imperfect information games, for the 5-player werewolf game. In order to apply MCCFR, we constructed the simplified 5-player werewolf game and learning process by MCCFR. We played against various agents to evaluate the effectiveness of the learned strategy by MCCFR. As a result, the method improved the win rate of the 5-player werewolf game.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2022-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2022-ICS-206"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":216899,"updated":"2025-01-19T15:41:38.007748+00:00","links":{},"created":"2025-01-19T01:17:24.684653+00:00"}