Using spoken words to guide open-ended category formation.
Identifieur interne : 000696 ( Main/Exploration ); précédent : 000695; suivant : 000697Using spoken words to guide open-ended category formation.
Auteurs : Aneesh Chauhan [Portugal] ; Luís Seabra LopesSource :
- Cognitive processing [ 1612-4790 ] ; 2011.
Descripteurs français
- KwdFr :
- MESH :
- physiologie : Apprentissage verbal, Formation de concepts, Parole.
- Humains, Intelligence artificielle, Noms, Robotique, Vocabulaire.
English descriptors
- KwdEn :
- MESH :
- physiology : Concept Formation, Speech, Verbal Learning.
- Artificial Intelligence, Humans, Names, Robotics, Vocabulary.
Abstract
Naming is a powerful cognitive tool that facilitates categorization by forming an association between words and their referents. There is evidence in child development literature that strong links exist between early word-learning and conceptual development. A growing view is also emerging that language is a cultural product created and acquired through social interactions. Inspired by these studies, this paper presents a novel learning architecture for category formation and vocabulary acquisition in robots through active interaction with humans. This architecture is open-ended and is capable of acquiring new categories and category names incrementally. The process can be compared to language grounding in children at single-word stage. The robot is embodied with visual and auditory sensors for world perception. A human instructor uses speech to teach the robot the names of the objects present in a visually shared environment. The robot uses its perceptual input to ground these spoken words and dynamically form/organize category descriptions in order to achieve better categorization. To evaluate the learning system at word-learning and category formation tasks, two experiments were conducted using a simple language game involving naming and corrective feedback actions from the human user. The obtained results are presented and discussed in detail.
DOI: 10.1007/s10339-011-0407-y
PubMed: 21614526
Affiliations:
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Le document en format XML
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There is evidence in child development literature that strong links exist between early word-learning and conceptual development. A growing view is also emerging that language is a cultural product created and acquired through social interactions. Inspired by these studies, this paper presents a novel learning architecture for category formation and vocabulary acquisition in robots through active interaction with humans. This architecture is open-ended and is capable of acquiring new categories and category names incrementally. The process can be compared to language grounding in children at single-word stage. The robot is embodied with visual and auditory sensors for world perception. A human instructor uses speech to teach the robot the names of the objects present in a visually shared environment. The robot uses its perceptual input to ground these spoken words and dynamically form/organize category descriptions in order to achieve better categorization. To evaluate the learning system at word-learning and category formation tasks, two experiments were conducted using a simple language game involving naming and corrective feedback actions from the human user. The obtained results are presented and discussed in detail.</div></front></TEI><affiliations><list><country><li>Portugal</li></country></list><tree><noCountry><name sortKey="Seabra Lopes, Luis" sort="Seabra Lopes, Luis" uniqKey="Seabra Lopes L" first="Luís" last="Seabra Lopes">Luís Seabra Lopes</name></noCountry><country name="Portugal"><noRegion><name sortKey="Chauhan, Aneesh" sort="Chauhan, Aneesh" uniqKey="Chauhan A" first="Aneesh" last="Chauhan">Aneesh Chauhan</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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