{"id":104853,"updated":"2025-01-21T10:18:06.567136+00:00","links":{},"created":"2025-01-18T23:48:49.918333+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00104853","sets":["6504:7684:7690"]},"path":["7690"],"owner":"6748","recid":"104853","title":["強化学習を用いた人狼における最適戦略の抽出"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-03-11"},"_buckets":{"deposit":"e1aad11d-1d61-4317-809d-94087635af42"},"_deposit":{"id":"104853","pid":{"type":"depid","value":"104853","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"強化学習を用いた人狼における最適戦略の抽出","author_link":["5751","5753","5750","5756","5754","5757","5752","5755"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"強化学習を用いた人狼における最適戦略の抽出"}]},"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":"2014-03-11","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":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"東大"},{"subitem_text_value":"筑波大"},{"subitem_text_value":"東京工芸大"},{"subitem_text_value":"広島市大"},{"subitem_text_value":"電通大"},{"subitem_text_value":"電通大"}]},"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/104853/files/IPSJ-Z76-1U-2.pdf"},"date":[{"dateType":"Available","dateValue":"2014-10-02"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z76-1U-2.pdf","filesize":[{"value":"351.8 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"f589d01c-58d5-4a1a-92d8-50f6ced0c782","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"梶原健吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鳥海不二夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大橋弘忠"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"大澤博隆"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"片上大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"稲葉通将"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"篠田孝祐"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西野順二"}],"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":"近年の人工知能の技術の発展により、チェスや将棋等の完全情報ゲームでは人工知能が人間のプロを相手に勝利するようになった。一方で、不完全情報ゲームについての研究は多くはない。そこでコミュニケーションゲーム“人狼”に着目し、人工知能が目指すべき新たな目標として設定する。本研究ではこのゲーム内で使用される主な言葉をプロトコル化し、各エージェントがそのプロトコルで会話をすることでゲームが進行される。過去の会話内容やプレイヤー数等を環境とし、発言内容や能力者の行動等の戦略をQ学習により学習させ、最適戦略を解析する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"598","bibliographic_titles":[{"bibliographic_title":"第76回全国大会講演論文集"}],"bibliographicPageStart":"597","bibliographicIssueDates":{"bibliographicIssueDate":"2014-03-11","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2014"}]},"relation_version_is_last":true,"weko_creator_id":"6748"}}