{"links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00225085","sets":["1164:4402:11197:11206"]},"path":["11206"],"owner":"44499","recid":"225085","title":["期待ポゼッション値によるRSS2Dの試合状況分析"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-03"},"_buckets":{"deposit":"9baaf558-d709-49c2-a16e-78e2f2a8be53"},"_deposit":{"id":"225085","pid":{"type":"depid","value":"225085","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"期待ポゼッション値によるRSS2Dの試合状況分析","author_link":["594959","594958","594960","594961","594957"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"期待ポゼッション値によるRSS2Dの試合状況分析"},{"subitem_title":"Analysis of RSS2D match situation by expected possession value","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2023-03-03","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 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/225085/files/IPSJ-ICS23210013.pdf","label":"IPSJ-ICS23210013.pdf"},"date":[{"dateType":"Available","dateValue":"2025-03-03"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS23210013.pdf","filesize":[{"value":"2.3 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":"4b300478-e5f9-444f-af68-3a82136ff050","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"天野, 巧巳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"安藤, 佳祐"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内種, 岳詞"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩田, 員典"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤, 暢浩"}],"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":"近年サッカーの試合分析では，試合状況と選手の行動から将来得点または失点する可能性を示す期待ポゼッション値 (EPV) が提案されている．本研究では，EPV を用いて RoboCupSoccer Simulation 2D の試合状況と選手の行動を分析し，その有効性を検討する．そのため試合のログファイルから特徴量を抽出し，ニューラルネットワークを用いて EPV の推定モデルを学習，獲得する．得られた推定モデルからパスなどの試合状況分析を通して有効性を確認した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Recently, the Expected Possession Value, EPV, has been introduced to analyze situations in soccer games. It calculates the possibility of future getting/losing scores from a game situation and the players' actions. In this study, we evaluate situations in RoboCup Soccer 2D with EPV and discuss its effectiveness. To calculate the EPV, some feature value is extracted from logfiles that game situations are recorded, and an estimation model of EPV is learned by using the value of the features and CNN. As a result, we confirmed the effectivity by discussing the EPV of the ”pass” actions.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-03-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8","bibliographicVolumeNumber":"2023-ICS-210"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:24:35.957627+00:00","updated":"2025-01-19T12:55:52.162265+00:00","id":225085}