{"created":"2024-11-07T01:38:09.313554+00:00","id":2001393,"links":{},"metadata":{"_buckets":{"deposit":"023769ef-3364-4e06-8edf-8eefb27a3841"},"_deposit":{"created_by":17,"id":"2001393","owner":"17","owners":[17],"pid":{"revision_id":0,"type":"depid","value":"2001393"},"status":"published"},"_oai":{"id":"oai:ynu.repo.nii.ac.jp:02001393","sets":["495:496"]},"author_link":[],"item_2_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2024-10-23","bibliographicIssueDateType":"Issued"},"bibliographicNumberOfPages":"8","bibliographicVolumeNumber":"Early Access","bibliographic_titles":[{"bibliographic_title":"Artificial Life and Robotics","bibliographic_titleLang":"en"}]}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Using many agents with different characteristics is more effective than using a homogeneous agent to observe a large environment persistently. This study focuses on the heterogeneity of agents’ observation capabilities, such as sensor resolution, by representing these differences through probabilistic observation. This representation allows agents to compute mutual information when selecting surveillance areas and move to where they can obtain the most information from their observations. In addition, we introduce confidence decay for three or more states, a strategy to encourage agents to revisit locations that have not been observed for an extended period of time. Confidence decay represents a gradual decrease in the estimates’ reliability since the state may have changed during the unobserved period. This strategy increases the mutual information of locations that have not been observed for a long time so that the agents will move toward them. Simulations in a changing environment show that the proposed method enables heterogeneous multi-agents to perform persistent surveillance according to their observation capabilities. It also outperforms the existing partition and sweep method in a quantitative comparison of observation accuracy.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_2_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"This work was presented in part at the joint symposium of the 29th International Symposium on Artificial Life and Robotics, the 9th International Symposium on BioComplexity, and the 7th International Symposium on Swarm Behavior and Bio-Inspired Robotics (Beppu, Oita and Online, January 24–26, 2024).","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_2_publisher_35":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electrical and Electronics Engineers (IEEE)","subitem_publisher_language":"en"}]},"item_2_relation_13":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1007/s10015-024-00976-1","subitem_relation_type_select":"DOI"}}]},"item_2_rights_14":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10015-024-00976-1","subitem_rights_language":"en","subitem_rights_resource":"https://www.springernature.com/jp/open-science/policies/journal-policies"}]},"item_2_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"14335298","subitem_source_identifier_type":"PISSN"}]},"item_2_version_type_18":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"embargoed access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_f1cf"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNames":[{"affiliationName":"Graduate School of Engineering Science, Yokohama National University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"Kobayashi, Shohei","creatorNameLang":"en"}]},{"creatorAffiliations":[{"affiliationNames":[{"affiliationName":"Graduate School of Engineering Science, Yokohama National University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"Kobayashi, Kazuho","creatorNameLang":"en"}]},{"creatorAffiliations":[{"affiliationNames":[{"affiliationName":"Faculty of Environment and Information Sciences, Yokohama National University","affiliationNameLang":"en"}]}],"creatorNames":[{"creatorName":"Higuchi, Takehiro","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"20403652","nameIdentifierScheme":"e-Rad_Researcher","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=20403652"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2025-10-24"}],"displaytype":"detail","fileDate":[{"fileDateType":"Issued","fileDateValue":"2024-10-23"}],"filename":"Persistent_surveillance_by_heterogeneous_multi-agents_using_mutual_information_based_on_observation_capability.pdf","filesize":[{"value":"4.3 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://ynu.repo.nii.ac.jp/record/2001393/files/Persistent_surveillance_by_heterogeneous_multi-agents_using_mutual_information_based_on_observation_capability.pdf"},"version_id":"f18abf19-1cc0-4746-9171-a62488f98c41"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Artificial Intelligence","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Multi-agent systems, Swarm robotics, Swarm intelligence, Persistent surveillance","subitem_subject_language":"en","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":"Persistent surveillance by heterogeneous multi-agents using mutual information based on observation capability","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Persistent surveillance by heterogeneous multi-agents using mutual information based on observation capability","subitem_title_language":"en"}]},"item_type_id":"2","owner":"17","path":["496"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-11-07"},"publish_date":"2024-11-07","publish_status":"0","recid":"2001393","relation_version_is_last":true,"title":["Persistent surveillance by heterogeneous multi-agents using mutual information based on observation capability"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2025-03-30T16:50:32.620857+00:00"}