{"created":"2023-05-15T12:36:09.106126+00:00","id":5359,"links":{},"metadata":{"_buckets":{"deposit":"e0b95fb6-1e02-4fbb-a897-6fa8b1aa58a7"},"_deposit":{"created_by":91,"id":"5359","owners":[91],"pid":{"revision_id":0,"type":"depid","value":"5359"},"status":"published"},"_oai":{"id":"oai:nitech.repo.nii.ac.jp:00005359","sets":["31"]},"author_link":["8544","8544","18557","18558","18559","18560","18561","18562"],"item_10001_alternative_title_24":{"attribute_name":"その他（別言語等）のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"ヨウジ　ノ　ガクシュウ　バイアス　オ　リヨウシタ　エージェント　ニヨル　ゴイ　ガクシュウ　ノ　コウリツカ","subitem_alternative_title_language":"ja-Kana"},{"subitem_alternative_title":"Efficient Learning of Word Meanings by Agents Using Biases Observed in Language Development of Children","subitem_alternative_title_language":"en"}]},"item_10001_biblio_info_28":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2007-11-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageEnd":"453","bibliographicPageStart":"444","bibliographicVolumeNumber":"22","bibliographic_titles":[{"bibliographic_title":"人工知能学会論文誌 / 人工知能学会","bibliographic_titleLang":"ja"}]}]},"item_10001_description_36":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Recently, studies on learning of word meanings by agents have begun. In these studies, a human shows objects to an agent and utters words such as red or box. The agent finds out object's feature represented by each spoken word. In our method, firstly, the agent learns probability distribution p(x) and conditional probability distribution p(x|w), where x is an object feature and w is a word. If a word w does not represent a feature x, p(x) and p(x|w) will be almost same distribution because x is independent of w. This fact enables the agent to use distance between p(x) and p(x|w) when inferring which feature the word represents. Previous works also employ similar stochastic approaches to detect the feature. However, such approaches need a lot of examples to learn correct distributions.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"8544","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000070508415","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000070508415"}],"names":[{"name":"Taguchi, Ryo"}]}]},"item_10001_publisher_29":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"人工知能学会","subitem_publisher_language":"ja"}]},"item_10001_relation_34":{"attribute_name":"item_10001_relation_34","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"10.1527/tjsai.22.444"}],"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"http://dx.doi.org/10.1527/tjsai.22.444","subitem_relation_type_select":"DOI"}}]},"item_10001_source_id_30":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1346-0714","subitem_source_identifier_type":"ISSN"}]},"item_10001_source_id_32":{"attribute_name":"item_10001_source_id_32","attribute_value_mlt":[{"subitem_source_identifier":"AA11579226","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_33":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田口, 亮"},{"creatorName":"タグチ, リョウ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"8544","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000070508415","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000070508415"}]},{"creatorNames":[{"creatorName":"木村, 優志"}],"nameIdentifiers":[{"nameIdentifier":"18557","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"小玉, 智志"}],"nameIdentifiers":[{"nameIdentifier":"18558","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"篠原, 修二"}],"nameIdentifiers":[{"nameIdentifier":"18559","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"入部, 百合絵"}],"nameIdentifiers":[{"nameIdentifier":"18560","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"桂田, 浩一"}],"nameIdentifiers":[{"nameIdentifier":"18561","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"新田, 恒雄"}],"nameIdentifiers":[{"nameIdentifier":"18562","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-01-25"}],"displaytype":"detail","filename":"JSAI 22_444.pdf","filesize":[{"value":"899.7 kB"}],"format":"application/pdf","license_note":"Copyright c 社団法人人工知能学会","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文_fulltext","url":"https://nitech.repo.nii.ac.jp/record/5359/files/JSAI 22_444.pdf"},"version_id":"4c780df3-28ef-4b60-a18d-38e9820eed04"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"item_resource_type","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"幼児の学習バイアスを利用したエージェントによる語意学習の効率化","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"幼児の学習バイアスを利用したエージェントによる語意学習の効率化","subitem_title_language":"ja"}]},"item_type_id":"10001","owner":"91","path":["31"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2012-11-06"},"publish_date":"2012-11-06","publish_status":"0","recid":"5359","relation_version_is_last":true,"title":["幼児の学習バイアスを利用したエージェントによる語意学習の効率化"],"weko_creator_id":"91","weko_shared_id":-1},"updated":"2025-03-21T02:07:41.115386+00:00"}