{"id":209855,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209855","sets":["1164:5305:10533:10534"]},"path":["10534"],"owner":"44499","recid":"209855","title":["ニューラルネットワークを用いたガイスターの相手駒色推定とその拡張"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-02-26"},"_buckets":{"deposit":"c320119c-3ab5-4931-a851-277a18c1337c"},"_deposit":{"id":"209855","pid":{"type":"depid","value":"209855","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ニューラルネットワークを用いたガイスターの相手駒色推定とその拡張","author_link":["530155","530154"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューラルネットワークを用いたガイスターの相手駒色推定とその拡張"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ガイスター","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-02-26","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"高知工科大学大学院工学研究科"},{"subitem_text_value":"高知工科大学情報学群"}]},"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/209855/files/IPSJ-GI21045006.pdf","label":"IPSJ-GI21045006.pdf"},"date":[{"dateType":"Available","dateValue":"2023-02-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-GI21045006.pdf","filesize":[{"value":"645.8 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":"18"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6c41a31f-1beb-4f98-bad1-8e5ae2902955","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"寺村, 舞童華"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"松崎, 公紀"}],"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":"不完全情報ゲームにおいて隠れた情報を推定することは一般に重要である．二人不完全情報ゲーム「ガイスター」に対しては，これまでにモンテカルロシミュレーションを用いた相手駒色推定手法が提案されている．本研究では，ニューラルネットワークを用いた機械学習により駒色推定を行う手法を提案し，実験的に評価する．単一局面の手に対して駒色推定するネットワークに加えて，それまでに推定した相手駒の駒色を入力に加えたネットワークを実装した．原始モンテカルロプレイヤに対する駒色推定では，一致率91.2%を達成した．駒色推定を用いるプレイヤと駒色推定を用いないプレイヤを対戦した結果，同一プレイヤから学習した場合に50.0%から64.0%へ，異なるプレイヤから学習した場合に50.0%から55.6%へ，それぞれ勝率が向上した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告ゲーム情報学（GI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-02-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2021-GI-45"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T18:22:06.790905+00:00","created":"2025-01-19T01:11:08.295157+00:00","links":{}}