{"updated":"2025-01-20T06:38:52.542597+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174562","sets":["1164:2735:8608:8902"]},"path":["8902"],"owner":"11","recid":"174562","title":["遺伝的アルゴリズムを用いたQWOPの運動学習の一手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-09-09"},"_buckets":{"deposit":"f992dd87-bb47-42a2-b9a1-a55da422ecb7"},"_deposit":{"id":"174562","pid":{"type":"depid","value":"174562","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"遺伝的アルゴリズムを用いたQWOPの運動学習の一手法","author_link":["359851","359853","359849","359856","359854","359855","359852","359850"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"遺伝的アルゴリズムを用いたQWOPの運動学習の一手法"},{"subitem_title":"Movement Learning for QWOP using a Genetic Algorithm","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2016-09-09","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"奈良女子大学"},{"subitem_text_value":"奈良女子大学"},{"subitem_text_value":"奈良女子大学"},{"subitem_text_value":"奈良女子大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"},{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"},{"subitem_text_value":"Nara Women's University","subitem_text_language":"en"},{"subitem_text_value":"Nara Women's 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/174562/files/IPSJ-MPS16110010.pdf","label":"IPSJ-MPS16110010.pdf"},"date":[{"dateType":"Available","dateValue":"2018-09-09"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS16110010.pdf","filesize":[{"value":"767.1 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"17db1ba1-4cbb-4581-839d-d6cd683e0544","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小山, ちひろ"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石川, 由羽"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"高田, 雅美"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"城, 和貴"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Chihiro, Koyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yu, Ishikawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masami, Takata","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Kazuki, Joe","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","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":"2188-8833","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本稿では，ルールや攻略法を与えず自動的にルールを構築し，上達することができる成長型ゲーム AI の開発を行う．専用の学習エミュレータが存在しないゲームを学習させることは困難である．そこで，プレイ画面情報のみでゲームを学習することができるシステムを開発する．画面情報より得られたスコアのみを学習に用い，遺伝的アルゴリズムを適用して Flash ゲーム “QWOP” の運動学習を行う．ランダムな行動パターンを持つ個体群に対し，遺伝子操作を行うことでスコアが徐々に向上し，歩行運動を学習していくことを確認する．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-09-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"10","bibliographicVolumeNumber":"2016-MPS-110"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:44:45.045537+00:00","id":174562,"links":{}}