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dc.contributor.authorTaniguchi, Aen
dc.contributor.authorTaniguchi, Ten
dc.contributor.authorCangelosi, Aen
dc.date.accessioned2018-03-28T09:01:17Z
dc.date.issued2017-12-19en
dc.identifier.issn1662-5218en
dc.identifier.otherARTN 66en
dc.identifier.urihttp://hdl.handle.net/10026.1/11192
dc.language.isoenen
dc.subjectBayesian modelen
dc.subjectcross-situational learningen
dc.subjectlexical acquisitionen
dc.subjectmultimodal categorizationen
dc.subjectsymbol groundingen
dc.subjectword meaningen
dc.titleCross-Situational Learning with Bayesian Generative Models for Multimodal Category and Word Learning in Robotsen
dc.typeJournal Article
plymouth.volume11en
plymouth.journalFRONTIERS IN NEUROROBOTICSen
dc.identifier.doi10.3389/fnbot.2017.00066en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
dcterms.dateAccepted2017-11-21en
dc.rights.embargodate2018-04-11en
dc.rights.embargoperiodNo embargoen
rioxxterms.versionofrecord10.3389/fnbot.2017.00066en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2017-12-19en
rioxxterms.typeJournal Article/Reviewen


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