{"created":"2023-06-20T12:56:38.231763+00:00","id":676,"links":{},"metadata":{"_buckets":{"deposit":"4ff7aa58-a8ad-4682-bd1f-057362bc7dbf"},"_deposit":{"created_by":2,"id":"676","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"676"},"status":"published"},"_oai":{"id":"oai:fun.repo.nii.ac.jp:00000676","sets":["22:33","25:26:37"]},"author_link":["1140","18"],"item_9_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1993-10","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"359","bibliographicPageStart":"355","bibliographic_titles":[{"bibliographic_title":"Proceedings of the IEEE Intelligent Vehicles '93 Symposium"}]}]},"item_9_description_3":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"This paper deals with the decision making of a mobile robot in drastic changes of its envi-ronment. For the problem, we are trying to incorporate the rule decomposi-tion-and-merging approach into the rein-forcement learning approach. This idea is realized modifying the framework of the Structured Boltzmann Machine (SBM). The SBM represents structured concepts and re-trieves stored concepts by complex keys. For the latter the SBM augments operations on the network modules connecting the independently learned modules and extracting concepts by specified keys. Such operations are adapted and applied to merge strategies learned in advance. A simplified vehicle navigation problem will be defined and a modified SBM specific to that problem will be illustrated.","subitem_description_type":"Abstract"}]},"item_9_select_10":{"attribute_name":"単著共著","attribute_value_mlt":[{"subitem_select_item":"共著/joint"}]},"item_9_select_8":{"attribute_name":"査読有無","attribute_value_mlt":[{"subitem_select_item":"あり/yes"}]},"item_9_select_9":{"attribute_name":"研究業績種別","attribute_value_mlt":[{"subitem_select_item":"国際会議/International Conference"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"奥野, 拓","creatorNameLang":"ja"}],"familyNames":[{"familyName":"奥野","familyNameLang":"ja"}],"givenNames":[{"givenName":"拓","givenNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"18","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"30360936","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://kaken.nii.ac.jp/ja/search/?qm=30360936"}]},{"creatorNames":[{"creatorName":"Kakazu, Yukinori"}],"nameIdentifiers":[{"nameIdentifier":"1140","nameIdentifierScheme":"WEKO"}]}]},"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":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Merging Navigation Strategies for Vehicles by Structured Boltzmann Machine","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Merging Navigation Strategies for Vehicles by Structured Boltzmann Machine"}]},"item_type_id":"9","owner":"2","path":["33","37"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-04-19"},"publish_date":"2011-04-19","publish_status":"0","recid":"676","relation_version_is_last":true,"title":["Merging Navigation Strategies for Vehicles by Structured Boltzmann Machine"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2025-02-07T02:50:53.489162+00:00"}