8 found
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  1. Information-seeking, curiosity, and attention: computational and neural mechanisms.Jacqueline Gottlieb, Pierre-Yves Oudeyer, Manuel Lopes & Adrien Baranes - 2013 - Trends in Cognitive Sciences 17 (11):585-593.
  2.  54
    How Evolution May Work Through Curiosity‐Driven Developmental Process.Pierre-Yves Oudeyer & Linda B. Smith - 2016 - Topics in Cognitive Science 8 (2):492-502.
    Infants' own activities create and actively select their learning experiences. Here we review recent models of embodied information seeking and curiosity-driven learning and show that these mechanisms have deep implications for development and evolution. We discuss how these mechanisms yield self-organized epigenesis with emergent ordered behavioral and cognitive developmental stages. We describe a robotic experiment that explored the hypothesis that progress in learning, in and for itself, generates intrinsic rewards: The robot learners probabilistically selected experiences according to their potential for (...)
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  3.  49
    An Alternative to Mapping a Word onto a Concept in Language Acquisition: Pragmatic Frames.Katharina J. Rohlfing, Britta Wrede, Anna-Lisa Vollmer & Pierre-Yves Oudeyer - 2016 - Frontiers in Psychology 7.
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  4.  10
    An Open-Source Cognitive Test Battery to Assess Human Attention and Memory.Maxime Adolphe, Masataka Sawayama, Denis Maurel, Alexandra Delmas, Pierre-Yves Oudeyer & Hélène Sauzéon - 2022 - Frontiers in Psychology 13.
    Cognitive test batteries are widely used in diverse research fields, such as cognitive training, cognitive disorder assessment, or brain mechanism understanding. Although they need flexibility according to their usage objectives, most test batteries are not available as open-source software and are not be tuned by researchers in detail. The present study introduces an open-source cognitive test battery to assess attention and memory, using a javascript library, p5.js. Because of the ubiquitous nature of dynamic attention in our daily lives, it is (...)
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  5.  4
    Mondes mosaïques: astres, villes, vivant et robots.Jean Audouze, Georges Chapouthier, Denis Laming & Pierre-Yves Oudeyer (eds.) - 2015 - Paris: CNRS éditions.
    Qu'y a-t-il de commun entre l'Univers, l'animal, la machine et la ville? A priori pas grand-chose si l'on prend en considération les différences d'échelle ou encore le fait que l'on cherche à rapprocher deux concepts "naturels", l'Univers et l'animal, à deux types de "constructions" humaines, la machine et la ville. Le propos de cet ouvrage est précisément de démontrer le contraire : des constatations identiques ou analogues peuvent s'appliquer à chacun d'eux. Notre appréhension de ces différentes entités a progressé de (...)
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  6.  14
    Le corps comme variable expérimentale.Frédéric Kaplan & Pierre-Yves Oudeyer - 2008 - Revue Philosophique de la France Et de l'Etranger 133 (3):287-298.
    L’évolution des concepts de corps et de processus d’animation dans le domaine de la robotique conduit aujourd’hui à définir le concept d’un noyau, ensemble d’algorithmes stables, indépendant des espaces corporels auxquels ils s’appliquent. Il devient alors possible d’étudier la manière dont certaines inscriptions corporelles, considérées comme des variables, structurent le comportement et, à plus long terme, le développement d’un robot. Cette démarche méthodologique peut mener à une approche originale du développement soulignant l’importance d’un corps variable aux frontières en continuelle redéfinition.In (...)
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  7.  42
    Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human-like learning.Pierre-Yves Oudeyer - 2017 - Behavioral and Brain Sciences 40.
    Autonomous lifelong development and learning are fundamental capabilities of humans, differentiating them from current deep learning systems. However, other branches of artificial intelligence have designed crucial ingredients towards autonomous learning: curiosity and intrinsic motivation, social learning and natural interaction with peers, and embodiment. These mechanisms guide exploration and autonomous choice of goals, and integrating them with deep learning opens stimulating perspectives.
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  8. Developmental robotics.Pierre-Yves Oudeyer - 2011 - In Norbert M. Seel (ed.), Encyclopedia of the Sciences of Learning. Springer Verlag.