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Le corps comme variable expérimentale

Kaplan, F. and Oudeyer, P.Y. (2008), Le corps comme variable expérimentale, Revue philosophique de la France et de l'etranger, 133 (3) , p.287--298

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Classification of dog barks: a machine learning approach

Molnar, C., Kaplan, F., Roy, P., Pachet, F., Pongracz, P., Doka, A. and Miklosi, A. (2008) Classification of dog barks: a machine learning approach, Animal Cognition, 11(3) : 389-400

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Neurorobotics: an experimental science of embodiment

Kaplan, F. (2008) Neurorobotics: an experimental science of embodiment. Frontiers in Neuroscience 2,1 : 22-23

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In search of the neural circuits of intrinsic motivation

Kaplan, F. and Oudeyer, P-Y (2007) In search of the neural circuits of intrinsic motivation, Frontiers in Neuroscience, 1 (1), 225-236

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What is intrinsic motivation? A typology of computational approaches

Oudeyer P and Kaplan F (2007) What is intrinsic motivation? A typology of computational approaches. Frontiers in Neurorobotics. 1:6.

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Language Evolution as a Darwinian Process: Computational Studies

Oudeyer, P-Y. and Kaplan, F. (2007) Language Evolution as a Darwinian Process: Computational Studies, Cognitive Processing, 8 : 21-35

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Computational models in the debate over language learnability

Kaplan, F., Oudeyer, P-Y and Bergen, B. (2008) Computational models in the debate over language learnabiliy, Infant and Child Development, 17 (1), 55-80

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Information-theoretic framework for unsupervised activity classification

Kaplan, F. and Hafner, V. V. (2006), Information-theoretic framework for unsupervised activity classification, Advanced Robotics, 20 (10) : 1087-1103

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The challenges of joint attention

Kaplan, F. and Hafner, V.V. (2006) The challenges of joint attention, Interaction Studies, 7 (2): 135-169

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Un robot motivé pour apprendre : le role des motivations intrinseques dans le developpement sensorimoteur

Kaplan, F. and Oudeyer, P-Y. (2007) Un robot motivé pour apprendre : le role des motivations intrinseques dans le developpement sensorimoteur, Enfance, 59 (1) : 46-58

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