{"_buckets": {"deposit": "40e21f21-c6dc-41b2-a3a9-537cc2b300ea"}, "_deposit": {"created_by": 14, "id": "2000102", "owner": "14", "owners": [14], "pid": {"revision_id": 0, "type": "depid", "value": "2000102"}, "status": "published"}, "_oai": {"id": "oai:kyutech.repo.nii.ac.jp:02000102", "sets": ["24"]}, "author_link": ["6059", "3694", "1615", "30537"], "control_number": "2000102", "item_21_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2022-11-26", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "292", "bibliographicPageEnd": "73", "bibliographicPageStart": "68", "bibliographicVolumeNumber": "122", "bibliographic_titles": [{"bibliographic_title": "電子情報通信学会技術研究報告. NC, ニューロコンピューティング", "bibliographic_titleLang": "ja"}]}]}, "item_21_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "場所の表現と記憶に関わる脳の機能より着想を得て設計した脳型人工知能モデルの提案とロボットでの検証について述べる.海馬はエピソード記憶にかかわるとされ,ラットの海馬・嗅内皮質から経路に依存して発火する細胞が見つかっており,ナビゲーション機能に用いられているとされる.本稿ではホームサービスロボットが経路情報をオブジェクト情報と結び付けた記憶を獲得し行動を生成することを目指した脳型人工知能モデルを提案する.提案モデルのソフトウェアを用いた検証および提案モデルを搭載した実機ロボットでの検証を行い,このモデルがロボットの獲得した記憶をもとにした行動生成に有効であることを示す.", "subitem_description_language": "ja", "subitem_description_type": "Abstract"}, {"subitem_description": "This paper proposes a brain-inspired artificial intelligence model inspired by brain functions related to the representation and memory of a place and experiences of a robot. The hippocampus is related to episodic memory; cells that fire depending on the path are found in the hippocampus, and the cells used for navigation are found in the entorhinal cortex of rats. In this paper, we propose the brain-inspired model that aims to acquire path information with object information and generate actions of home service robots. We show the ability of the proposed model using software simulation with the physical robot.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_21_description_5": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "電子情報通信学会ニューロコンピューティング研究会, 2022年12月3日, 大阪電気通信大学", "subitem_description_type": "Other"}]}, "item_21_publisher_7": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "電子情報通信学会"}]}, "item_21_relation_38": {"attribute_name": "関係URI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "https://ken.ieice.org/ken/paper/20221203zCPK/", "subitem_relation_type_select": "URI"}}]}, "item_21_rights_13": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "Copyright(C)2022 IEICE"}]}, "item_21_select_59": {"attribute_name": "査読の有無", "attribute_value_mlt": [{"subitem_select_item": "no"}]}, "item_21_source_id_10": {"attribute_name": "書誌レコードID", 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海馬モデルによる経験の蓄積と想起に基づくホームサービスロボットの行動生成
http://hdl.handle.net/10228/0002000102
http://hdl.handle.net/10228/0002000102