Information-seeking, curiosity, and attention: computational and neural mechanisms.

Jacqueline Gottlieb Pierre-Yves Oudeyer 1 Manuel Lopes 1 Adrien Baranes 1
1 Flowers - Flowing Epigenetic Robots and Systems
Inria Bordeaux - Sud-Ouest, ENSTA ParisTech U2IS - Unité d'Informatique et d'Ingénierie des Systèmes
Abstract : Intelligent animals devote much time and energy to exploring and obtaining information, but the underlying mechanisms are poorly understood. We review recent developments on this topic that have emerged from the traditionally separate fields of machine learning, eye movements in natural behavior, and studies of curiosity in psychology and neuroscience. These studies show that exploration may be guided by a family of mechanisms that range from automatic biases toward novelty or surprise to systematic searches for learning progress and information gain in curiosity-driven behavior. In addition, eye movements reflect visual information searching in multiple conditions and are amenable for cellular-level investigations. This suggests that the oculomotor system is an excellent model system for understanding information-sampling mechanisms.
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Article dans une revue
Trends in Cognitive Sciences, Elsevier, 2013, 17 (11), pp.585-93. <http://www.sciencedirect.com/science/article/pii/S1364661313002052>. <10.1016/j.tics.2013.09.001>
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https://hal.inria.fr/hal-00913646
Contributeur : Pierre-Yves Oudeyer <>
Soumis le : mercredi 4 décembre 2013 - 10:47:43
Dernière modification le : vendredi 6 janvier 2017 - 01:22:39

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Jacqueline Gottlieb, Pierre-Yves Oudeyer, Manuel Lopes, Adrien Baranes. Information-seeking, curiosity, and attention: computational and neural mechanisms.. Trends in Cognitive Sciences, Elsevier, 2013, 17 (11), pp.585-93. <http://www.sciencedirect.com/science/article/pii/S1364661313002052>. <10.1016/j.tics.2013.09.001>. <hal-00913646>

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