{"created":"2024-11-06T12:00:38.569536+00:00","id":2001010,"links":{},"metadata":{"_buckets":{"deposit":"77fc0995-d1fb-4764-b873-44d2bcf1daa2"},"_deposit":{"created_by":12,"id":"2001010","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"2001010"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:02001010","sets":["8:24"]},"author_link":["35567"],"control_number":"2001010","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-10-05","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"679","bibliographicPageStart":"669","bibliographicVolumeNumber":"28","bibliographic_titles":[{"bibliographic_title":"Artificial Life and Robotics","bibliographic_titleLang":"en"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper focuses on generating collective behavior of a robotic swarm using an attention agent. The selective attention mechanism enables an agent to cope with environmental variations which are irrelevant to the task. This paper applies attention mechanisms to a robotic swarm for enhancing system-level properties, such as flexibility or scalability. To train an attention agent, evolutionary computations become a promising method, because a controller structure is not restricted by a gradient-based method. Therefore, this paper employs a deep neuroevolution approach to generating collective behavior in a robotic swarm. The experiments are conducted by computer simulations that consist of the Unity 3D game engine. The performance of the attention agent is compared with the convolutional neural network approach. The experimental results showed that the attention agent obtained generalization abilities in a robotic swarm similar to single-agent problems.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_link_62":{"attribute_name":"研究者情報","attribute_value_mlt":[{"subitem_link_url":"https://hyokadb02.jimu.kyutech.ac.jp/html/100001769_ja.html"}]},"item_21_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"Springer","subitem_publisher_language":"en"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s10015-023-00902-x","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"This is a post-peer-review, pre-copyedit version of an article published in Artificial Life and Robotics. The final authenticated version is available online at: https://doi.org/10.1007/s10015-023-00902-x."}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_10":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AA11239104","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1433-5298","subitem_source_identifier_type":"PISSN"},{"subitem_source_identifier":"1614-7456","subitem_source_identifier_type":"EISSN"}]},"item_21_text_28":{"attribute_name":"論文ID（連携）","attribute_value_mlt":[{"subitem_text_value":"10430272"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"12213"}]},"item_21_version_type_58":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Iwami, Arumu","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"森本, 大智","creatorNameLang":"ja"},{"creatorName":"Morimoto, Daichi","creatorNameLang":"en"},{"creatorName":"モリモト, ダイチ","creatorNameLang":"ja-Kana"}],"familyNames":[{"familyName":"森本","familyNameLang":"ja"},{"familyName":"Morimoto","familyNameLang":"en"},{"familyName":"モリモト","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"大智","givenNameLang":"ja"},{"givenName":"Daichi","givenNameLang":"en"},{"givenName":"ダイチ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"35567","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"57398481400","nameIdentifierScheme":"Scopus著者ID","nameIdentifierURI":"https://www.scopus.com/authid/detail.uri?authorId=57398481400"},{"nameIdentifier":"0009-0005-1967-4640","nameIdentifierScheme":"ORCiD","nameIdentifierURI":"https://orcid.org/0009-0005-1967-4640"},{"nameIdentifier":"100001769","nameIdentifierScheme":"九工大研究者情報","nameIdentifierURI":"https://hyokadb02.jimu.kyutech.ac.jp/html/100001769_ja.html"}]},{"creatorNames":[{"creatorName":"Shiozaki, Naoya","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Hiraga, Motoaki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Ohkura, Kazuhiro","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"10430272.pdf","filesize":[{"value":"20.4 MB"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://kyutech.repo.nii.ac.jp/record/2001010/files/10430272.pdf"},"version_id":"a518fab1-fcb1-4264-b263-efd60e06d78f"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Swarm robotics","subitem_subject_scheme":"Other"},{"subitem_subject":"Evolutionary robotics","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep neuroevolution","subitem_subject_scheme":"Other"},{"subitem_subject":"Convolutional neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"Attention agent","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution","subitem_title_language":"en"}]},"item_type_id":"21","owner":"12","path":["24"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-11-06"},"publish_date":"2024-11-06","publish_status":"0","recid":"2001010","relation_version_is_last":true,"title":["Generating collective behavior of a robotic swarm using an attention agent with deep neuroevolution"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2025-06-10T06:23:38.038429+00:00"}