{"created":"2022-01-28T01:05:36.447760+00:00","id":2005222,"links":{},"metadata":{"_buckets":{"deposit":"2483380a-bfbd-4b4b-8b3b-00e64da6ef63"},"_deposit":{"id":"2005222","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"2005222"},"status":"published"},"_oai":{"id":"oai:u-ryukyu.repo.nii.ac.jp:02005222","sets":["1642837622505:1642837855274:1642837875711","1642838403551:1642838406845"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_title":"マルチエージェント系における競合共進化型学習の性能評価","subitem_title_language":"ja"},{"subitem_title":"The performance evaluation of competitive co-evolution in multi-agent system.","subitem_title_language":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"玉城, 清政","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"玉城, 斉","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"山田, 孝治","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"遠藤, 聡志","creatorNameLang":"ja"}]},{"creatorNames":[{"creatorName":"Tamashiro, Kiyomasa","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Tamaki, Tadashi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Yamada, Koji","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Endo, Satoshi","creatorNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_subject":"Reinforcement learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Genetic algorithm","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"competitive co-evolution","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"One of the important issues in intelligent systems and robotics is to develop an efficient method to control multi-agent system. In order to work multi-agent system well as problem solver, it's so significant to create cooperative behaviors among the agents. In the multi-agent system, the behaviors of cooperation emerged as the results of suitable role learning by each agent. In this paper, we evaluate reinforcement learning, genetic algorithm and competitive co-evolution algorithm from the viewpoint of adaptability to different environment as the learning method of multi-agent system, and discuss the property of each technique.","subitem_description_type":"Other"},{"subitem_description":"紀要論文","subitem_description_type":"Other"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_publisher":"琉球大学工学部","subitem_publisher_language":"ja"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_1617186783814":{"attribute_name":"Identifier","attribute_value_mlt":[{"subitem_identifier_type":"HDL","subitem_identifier_uri":"http://hdl.handle.net/20.500.12000/14710"}]},"item_1617186920753":{"attribute_name":"Source Identifier","attribute_value_mlt":[{"subitem_source_identifier":"0389-102X","subitem_source_identifier_type":"ISSN"},{"subitem_source_identifier":"AN0025048X","subitem_source_identifier_type":"NCID"}]},"item_1617186941041":{"attribute_name":"Source Title","attribute_value_mlt":[{"subitem_source_title":"琉球大学工学部紀要","subitem_source_title_language":"ja"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1999-09","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"58","bibliographicPageEnd":"149","bibliographicPageStart":"143"}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","filename":"No58p143.pdf","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://u-ryukyu.repo.nii.ac.jp/record/2005222/files/No58p143.pdf"},"version_id":"1a1eaf82-3e3e-478b-abc9-5ab1d1e9bd6a"}]},"item_title":"マルチエージェント系における競合共進化型学習の性能評価","item_type_id":"15","owner":"1","path":["1642837875711","1642838406845"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2010-01-13"},"publish_date":"2010-01-13","publish_status":"0","recid":"2005222","relation_version_is_last":true,"title":["マルチエージェント系における競合共進化型学習の性能評価"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-10-31T02:33:57.348514+00:00"}