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Sensorimotor Contingencies as a Key Drive of Development: From Babies to Robots.
Jacquey, Lisa; Baldassarre, Gianluca; Santucci, Vieri Giuliano; O'Regan, J Kevin.
Afiliação
  • Jacquey L; Integrative Neuroscience and Cognition Center, UMR 8002, CNRS, Université Paris Descartes, Paris, France.
  • Baldassarre G; Laboratoire Ethologie Cognition Développement, Université Paris Nanterre, Nanterre, France.
  • Santucci VG; Laboratory of Computational Embodied Neuroscience, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche, Rome, Italy.
  • O'Regan JK; Laboratory of Computational Embodied Neuroscience, Istituto di Scienze e Tecnologie della Cognizione, Consiglio Nazionale delle Ricerche, Rome, Italy.
Front Neurorobot ; 13: 98, 2019.
Article em En | MEDLINE | ID: mdl-31866848
ABSTRACT
Much current work in robotics focuses on the development of robots capable of autonomous unsupervised learning. An essential prerequisite for such learning to be possible is that the agent should be sensitive to the link between its actions and the consequences of its actions, called sensorimotor contingencies. This sensitivity, and more particularly its role as a key drive of development, has been widely studied by developmental psychologists. However, the results of these studies may not necessarily be accessible or intelligible to roboticians. In this paper, we review the main experimental data demonstrating the role of sensitivity to sensorimotor contingencies in infants' acquisition of four fundamental motor and cognitive abilities body knowledge, memory, generalization, and goal-directedness. We relate this data from developmental psychology to work in robotics, highlighting the links between these two domains of research. In the last part of the article we present a blueprint architecture demonstrating how exploitation of sensitivity to sensorimotor contingencies, combined with the notion of "goal," allows an agent to develop new sensorimotor skills. This architecture can be used to guide the design of specific computational models, and also to possibly envisage new empirical experiments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurorobot Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Neurorobot Ano de publicação: 2019 Tipo de documento: Article País de afiliação: França
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