{"@context":{"@vocab":"https://cir.nii.ac.jp/schema/1.0/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/","foaf":"http://xmlns.com/foaf/0.1/","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","datacite":"https://schema.datacite.org/meta/kernel-4/","ndl":"http://ndl.go.jp/dcndl/terms/","jpcoar":"https://github.com/JPCOAR/schema/blob/master/2.0/"},"@id":"https://cir.nii.ac.jp/crid/1363670319861982976.json","@type":"Article","productIdentifier":[{"identifier":{"@type":"DOI","@value":"10.1007/978-3-642-15822-3_33"}},{"identifier":{"@type":"URI","@value":"http://link.springer.com/content/pdf/10.1007/978-3-642-15822-3_33.pdf"}}],"dc:title":[{"@value":"Integrative Learning between Language and Action: A Neuro-Robotics Experiment"}],"description":[{"notation":[{"@value":"This paper introduces a model for associative learning combining both linguistic and behavior modalities. The model consists of language and behavior modules both implemented by a hierarchical dynamic network model and interacting densely through hub-like neurons, the so-called parametric biases (PB). By implementing this model for a humanoid robot with the task of manipulating multiple objects, the robot was tutored to associate sentences of two different grammatical types with corresponding sensory-motor schemata. The first type was a verb followed by an objective noun such as \"hold red\" or \"hit blue\"; the second was a verb followed by an objective noun and further followed by an adverb phrase such as \"Put red on blue\". Our analysis of the results of a learning experiment showed that two clusters corresponding to these two types of grammatical sentences appear in the PB activity space, such that a specific micro structure is organized for each cluster."}]}],"creator":[{"@id":"https://cir.nii.ac.jp/crid/1383670319861982979","@type":"Researcher","foaf:name":[{"@value":"Hiroaki Arie"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670319861982976","@type":"Researcher","foaf:name":[{"@value":"Tetsuro Endo"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670319861982978","@type":"Researcher","foaf:name":[{"@value":"Sungmoon Jeong"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670319861982980","@type":"Researcher","foaf:name":[{"@value":"Minho Lee"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670319861982977","@type":"Researcher","foaf:name":[{"@value":"Shigeki Sugano"}]},{"@id":"https://cir.nii.ac.jp/crid/1383670319861982981","@type":"Researcher","foaf:name":[{"@value":"Jun Tani"}]}],"publication":{"publicationIdentifier":[{"@type":"PISSN","@value":"03029743"},{"@type":"EISSN","@value":"16113349"},{"@type":"ISBN","@value":"9783642158216"},{"@type":"ISBN","@value":"9783642158223"}],"prism:publicationName":[{"@value":"Lecture Notes in Computer Science"}],"dc:publisher":[{"@value":"Springer Berlin Heidelberg"}],"prism:publicationDate":"2010","prism:startingPage":"256","prism:endingPage":"265"},"reviewed":"false","url":[{"@id":"http://link.springer.com/content/pdf/10.1007/978-3-642-15822-3_33.pdf"}],"createdAt":"2010-08-12","modifiedAt":"2020-11-24","relatedProduct":[{"@id":"https://cir.nii.ac.jp/crid/1360849942196803200","@type":"Article","resourceType":"学術雑誌論文(journal article)","relationType":["isReferencedBy"],"jpcoar:relatedTitle":[{"@value":"Representation and classification of whole-body motion integrated with finger motion"}]}],"dataSourceIdentifier":[{"@type":"CROSSREF","@value":"10.1007/978-3-642-15822-3_33"},{"@type":"OPENAIRE","@value":"doi_dedup___::f19d9bec7e92f04e03634d0f24feab74"},{"@type":"CROSSREF","@value":"10.1016/j.robot.2019.103378_references_DOI_1HTaLLNofn2l8wukxCPogd8hweE"}]}