{"updated":"2025-01-20T13:09:50.615139+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00157981","sets":["1164:5305:8612:8613"]},"path":["8613"],"owner":"11","recid":"157981","title":["プレイヤの発言に基づいた人狼ゲームの役職推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-03-01"},"_buckets":{"deposit":"4ecc5829-c48e-423d-84b1-bbde4e8398a6"},"_deposit":{"id":"157981","pid":{"type":"depid","value":"157981","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"プレイヤの発言に基づいた人狼ゲームの役職推定","author_link":["300493","300492","300490","300495","300494","300491"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"プレイヤの発言に基づいた人狼ゲームの役職推定"},{"subitem_title":"A Method for Estimating Roles in the Werewolf Game Based on Dialogue Data from a Game BBS","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ゲーム状態の評価および行動価値の推定と機械学習","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-03-01","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪市立大学大学院工学研究科"},{"subitem_text_value":"大阪市立大学大学院工学研究科"},{"subitem_text_value":"大阪市立大学大学院工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of Engineering, University of Osaka City","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, University of Osaka City","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Engineering, University of Osaka City","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/157981/files/IPSJ-GI16035012.pdf","label":"IPSJ-GI16035012.pdf"},"date":[{"dateType":"Available","dateValue":"2018-03-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GI16035012.pdf","filesize":[{"value":"883.4 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Sakamoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Atsushi, Ueno","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tomohito, Takubo","creatorNameLang":"en"}],"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":"本論文では，自然言語によって対話を行うコミュニケーションゲーム 「人狼」 において，機械学習を用いてプレイヤの発言から役職の推定を行う手法を提案する．学習データはオンラインで提供される 「人狼 BBS」 のプレイログを用いた．プレイヤの発言を文書としてまとめ，word2vec を用いて単語の意味の類似性を考慮したベクトル表現を獲得する．獲得したベクトル表現を用いて，進行中のプレイヤの発言に基づいてプレイヤのベクトルを求め，k 近傍法，SVM により人狼の役職の推定を行い，交差検証により評価し考察した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告ゲーム情報学（GI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"12","bibliographicVolumeNumber":"2016-GI-35"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:31:46.548526+00:00","id":157981,"links":{}}