{"updated":"2025-01-21T01:22:14.491919+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00127376","sets":["6504:8078:8083"]},"path":["8083"],"owner":"1","recid":"127376","title":["フレームを用いたRBRとCBRの統合モデル"],"pubdate":{"attribute_name":"公開日","attribute_value":"1995-03-15"},"_buckets":{"deposit":"c6ac7107-5cf2-4ccf-8109-b062d1b3b20a"},"_deposit":{"id":"127376","pid":{"type":"depid","value":"127376","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"フレームを用いたRBRとCBRの統合モデル","author_link":[],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"フレームを用いたRBRとCBRの統合モデル"},{"subitem_title":"A Model for Integrating RBR and CBR Using Frame System.","subitem_title_language":"en"}]},"item_type_id":"22","publish_date":"1995-03-15","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":"帝京大学"},{"subitem_text_value":"作新学院大学"}]},"item_22_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Teikyo University.","subitem_text_language":"en"},{"subitem_text_value":"Sakushingakuin University.","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/127376/files/KJ00001333758.pdf"},"date":[{"dateType":"Available","dateValue":"1995-03-15"}],"format":"application/pdf","filename":"KJ00001333758.pdf","filesize":[{"value":"192.8 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"9eeb9cfe-bb0c-42ae-9b67-2e8763abf88a","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":"ルールベース推論(RBR)と事例ベース推論(CBR)は相補的な関係にある.一方で,ルールも事例もある種のLHSとRHSから成り,推論エンジシも知識を選択してそれを適用するという点でこれらは非常に類似している.本稿では,このようなRBRとCBRの類似性に着目してそれらを完全に統合する枠組みについて述べる.本モデルはルールと事例を全く同じ枠組みの上で扱うことを目指しており,それによって,知識がルールとして形式化されていない部分問題に対して事例を用いた推論で補完し,ルールが形式化された段階でルールを追加したり,例外を事例として追加して特別なケースに対処するなど,RBRとCBRの相互補完が容易に実現できることか期待される.","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"134","bibliographic_titles":[{"bibliographic_title":"全国大会講演論文集"}],"bibliographicPageStart":"133","bibliographicIssueDates":{"bibliographicIssueDate":"1995-03-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"人工知能及び認知科学","bibliographicVolumeNumber":"第50回"}]},"relation_version_is_last":true,"weko_creator_id":"1"},"created":"2025-01-19T00:06:53.684780+00:00","id":127376,"links":{}}