{"updated":"2025-01-20T03:53:29.754847+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00182893","sets":["1164:4402:9103:9222"]},"path":["9222"],"owner":"11","recid":"182893","title":["ニューロンナレッジモデルによる感情推論システムの実現と実装"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-07-29"},"_buckets":{"deposit":"69910c3d-319e-43d3-8f11-735205f496db"},"_deposit":{"id":"182893","pid":{"type":"depid","value":"182893","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ニューロンナレッジモデルによる感情推論システムの実現と実装","author_link":["399642","399641"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ニューロンナレッジモデルによる感情推論システムの実現と実装"},{"subitem_title":"Implementation of emotion reasoning system by neuron knowledge model","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2017-07-29","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"(株)UPIホールドマインズ人工知能知識工学研究室"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"UPI Holdminds Co., Ltd. AI knowledge engineering laboratory","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/182893/files/IPSJ-ICS17189001.pdf","label":"IPSJ-ICS17189001.pdf"},"date":[{"dateType":"Available","dateValue":"2019-07-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS17189001.pdf","filesize":[{"value":"1.3 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c6987ff6-b70c-4c4b-8fd8-82b258899b9e","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2017 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"増田, 和宏"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kazuhiro, Masuda","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","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":"2188-885X","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人の記憶や感情などの知識推論を機械推論とは異なる，脳型知識構造で実現した新しい知識推論モデル 「ニューロンナレッジモデル」 を提言し，新知識モデル基盤を利用した感情推論システムについて説明する．ニューロンナレッジモデルはニューラルネットワークには無い高度な記憶の自由度を持ち，新しい知識推論モデルは機械推論の対岸の推論基盤として人工知能研究の礎になると考えられる．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"We propose a new knowledge inference model \"neuron knowledge model\" which realizes knowledge inference such as human memory and emotion with brain type knowledge structure different from machine inference, and emotion reasoning system utilizing the new knowledge model infrastructure will be explained. The neuron knowledge model has a high degree of memory freedom not found in the neural network, and the new knowledge reasoning model is thought to be the cornerstone of artificial intelligence research as the reasoning base on the other side of machine reasoning.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告知能システム（ICS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2017-07-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2017-ICS-189"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-19T00:50:27.707614+00:00","id":182893,"links":{}}