{"created":"2025-01-19T00:11:28.470875+00:00","updated":"2025-01-20T23:13:52.692368+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00132728","sets":["6504:8134:8139"]},"path":["8139"],"owner":"1","recid":"132728","title":["分散協調型強化学習によるマルチエージェントシステム"],"pubdate":{"attribute_name":"公開日","attribute_value":"1997-09-24"},"_buckets":{"deposit":"43e4eab5-0cc0-44e3-b0fe-746140f56f4b"},"_deposit":{"id":"132728","pid":{"type":"depid","value":"132728","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"分散協調型強化学習によるマルチエージェントシステム","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"分散協調型強化学習によるマルチエージェントシステム"},{"subitem_title":"Multi-Agent System based on the Distributed and Cooperative Reinforcement Learning","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1997-09-24","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":"金沢工業大学情報工学科"},{"subitem_text_value":"金沢工業大学情報工学科"},{"subitem_text_value":"金沢工業大学情報工学科"},{"subitem_text_value":"金沢工業大学情報工学科"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kanazawa Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Kanazawa Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Kanazawa Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Kanazawa Institute of Technology","subitem_text_language":"en"}]},"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/132728/files/KJ00003119455.pdf"},"date":[{"dateType":"Available","dateValue":"1997-09-24"}],"format":"application/pdf","filename":"KJ00003119455.pdf","filesize":[{"value":"216.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"305f1f8e-e51a-48c9-b601-ddb92697b9eb","displaytype":"detail","licensetype":"license_note"}]},"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":"ネットワーク内に存在するソフトウェアエージェントは, 利用者の代理として働くための自律的能力と環境に対する適応学習能力を必要としている。ここで, 環境変動に対するリアルタイム性を考慮すると, 行為を適用しながら環境状態との「ずれ」をインクリメンタルに補正していくリアクティブな推論システムが必要と考える。本稿では, リアクティブなルールと協調型強化学習によって環境変化に追従していくマルチエージェントシステムについて述べ, その評価プラットフォームを示す。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"744","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"743","bibliographicIssueDates":{"bibliographicIssueDate":"1997-09-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"ネットワーク","bibliographicVolumeNumber":"第55回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"id":132728,"links":{}}