{"id":236003,"created":"2025-01-19T01:37:49.190438+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00236003","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"236003","title":["R-NaDを用いたガイスターAIに関する研究"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"c41a5d85-cb5f-4a26-90ea-653cd9616fe9"},"_deposit":{"id":"236003","pid":{"type":"depid","value":"236003","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"R-NaDを用いたガイスターAIに関する研究","author_link":["644963","644964"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"R-NaDを用いたガイスターAIに関する研究"}]},"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":"2024-03-01","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":"埼玉大"},{"subitem_text_value":"埼玉大"}]},"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/236003/files/IPSJ-Z86-5Q-09.pdf","label":"IPSJ-Z86-5Q-09.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-5Q-09.pdf","filesize":[{"value":"235.3 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"7260dd0c-4b8c-48a0-8fdd-85019f0b31a4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"原田, 響己"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"吉浦, 紀晃"}],"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":"本研究では不完全情報ゲームの1つに分類されるボードゲームであるガイスターを対象に，勾配法であるR-NaDを適用したガイスターAIの構築を試みた．その後，ガイスターAI大会にて上位に入賞している「naotti2020」といった有力なガイスターAIとの対戦を通して，その結果からR-NaDを用いたガイスターAIの性能と戦略について検討を行った．結果として，構築したガイスターAIは有力なガイスターAIに匹敵する性能を発揮した．また，赤駒を多く前面に配置する初期配置を好み，青駒を多く前面に配置する初期配置はしないといったように，特有の戦略傾向があることが判明した．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"320","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"319","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T09:26:00.910640+00:00","links":{}}